Optimal user scheduling and power control in multi-user cognitive broadcast systems
Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatia...
Ausführliche Beschreibung
Autor*in: |
Wang, QunHuan [verfasserIn] Wang, HuiMing [verfasserIn] Yin, QinYe [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2012 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Science in China - Heidelberg : Springer, 2001, 55(2012), 6 vom: 24. Feb., Seite 1402-1414 |
---|---|
Übergeordnetes Werk: |
volume:55 ; year:2012 ; number:6 ; day:24 ; month:02 ; pages:1402-1414 |
Links: |
---|
DOI / URN: |
10.1007/s11432-012-4562-2 |
---|
Katalog-ID: |
SPR019308833 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR019308833 | ||
003 | DE-627 | ||
005 | 20220111065535.0 | ||
007 | cr uuu---uuuuu | ||
008 | 201006s2012 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s11432-012-4562-2 |2 doi | |
035 | |a (DE-627)SPR019308833 | ||
035 | |a (SPR)s11432-012-4562-2-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 070 |a 004 |q ASE |
084 | |a 54.00 |2 bkl | ||
100 | 1 | |a Wang, QunHuan |e verfasserin |4 aut | |
245 | 1 | 0 | |a Optimal user scheduling and power control in multi-user cognitive broadcast systems |
264 | 1 | |c 2012 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation. | ||
650 | 4 | |a cognitive radio |7 (dpeaa)DE-He213 | |
650 | 4 | |a distributed |7 (dpeaa)DE-He213 | |
650 | 4 | |a spatial spectrum holes |7 (dpeaa)DE-He213 | |
650 | 4 | |a opportunistic scheduling |7 (dpeaa)DE-He213 | |
650 | 4 | |a power allocation |7 (dpeaa)DE-He213 | |
700 | 1 | |a Wang, HuiMing |e verfasserin |4 aut | |
700 | 1 | |a Yin, QinYe |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Science in China |d Heidelberg : Springer, 2001 |g 55(2012), 6 vom: 24. Feb., Seite 1402-1414 |w (DE-627)385614764 |w (DE-600)2142898-0 |x 1862-2836 |7 nnns |
773 | 1 | 8 | |g volume:55 |g year:2012 |g number:6 |g day:24 |g month:02 |g pages:1402-1414 |
856 | 4 | 0 | |u https://dx.doi.org/10.1007/s11432-012-4562-2 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_SPRINGER | ||
912 | |a SSG-OPC-BBI | ||
912 | |a SSG-OPC-ASE | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_32 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_90 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_100 | ||
912 | |a GBV_ILN_101 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_120 | ||
912 | |a GBV_ILN_138 | ||
912 | |a GBV_ILN_152 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_171 | ||
912 | |a GBV_ILN_187 | ||
912 | |a GBV_ILN_224 | ||
912 | |a GBV_ILN_250 | ||
912 | |a GBV_ILN_281 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_702 | ||
936 | b | k | |a 54.00 |q ASE |
951 | |a AR | ||
952 | |d 55 |j 2012 |e 6 |b 24 |c 02 |h 1402-1414 |
author_variant |
q w qw h w hw q y qy |
---|---|
matchkey_str |
article:18622836:2012----::piaueshdlnadoecnrlnutuecgii |
hierarchy_sort_str |
2012 |
bklnumber |
54.00 |
publishDate |
2012 |
allfields |
10.1007/s11432-012-4562-2 doi (DE-627)SPR019308833 (SPR)s11432-012-4562-2-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Wang, QunHuan verfasserin aut Optimal user scheduling and power control in multi-user cognitive broadcast systems 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation. cognitive radio (dpeaa)DE-He213 distributed (dpeaa)DE-He213 spatial spectrum holes (dpeaa)DE-He213 opportunistic scheduling (dpeaa)DE-He213 power allocation (dpeaa)DE-He213 Wang, HuiMing verfasserin aut Yin, QinYe verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 55(2012), 6 vom: 24. Feb., Seite 1402-1414 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:55 year:2012 number:6 day:24 month:02 pages:1402-1414 https://dx.doi.org/10.1007/s11432-012-4562-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 55 2012 6 24 02 1402-1414 |
spelling |
10.1007/s11432-012-4562-2 doi (DE-627)SPR019308833 (SPR)s11432-012-4562-2-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Wang, QunHuan verfasserin aut Optimal user scheduling and power control in multi-user cognitive broadcast systems 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation. cognitive radio (dpeaa)DE-He213 distributed (dpeaa)DE-He213 spatial spectrum holes (dpeaa)DE-He213 opportunistic scheduling (dpeaa)DE-He213 power allocation (dpeaa)DE-He213 Wang, HuiMing verfasserin aut Yin, QinYe verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 55(2012), 6 vom: 24. Feb., Seite 1402-1414 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:55 year:2012 number:6 day:24 month:02 pages:1402-1414 https://dx.doi.org/10.1007/s11432-012-4562-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 55 2012 6 24 02 1402-1414 |
allfields_unstemmed |
10.1007/s11432-012-4562-2 doi (DE-627)SPR019308833 (SPR)s11432-012-4562-2-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Wang, QunHuan verfasserin aut Optimal user scheduling and power control in multi-user cognitive broadcast systems 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation. cognitive radio (dpeaa)DE-He213 distributed (dpeaa)DE-He213 spatial spectrum holes (dpeaa)DE-He213 opportunistic scheduling (dpeaa)DE-He213 power allocation (dpeaa)DE-He213 Wang, HuiMing verfasserin aut Yin, QinYe verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 55(2012), 6 vom: 24. Feb., Seite 1402-1414 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:55 year:2012 number:6 day:24 month:02 pages:1402-1414 https://dx.doi.org/10.1007/s11432-012-4562-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 55 2012 6 24 02 1402-1414 |
allfieldsGer |
10.1007/s11432-012-4562-2 doi (DE-627)SPR019308833 (SPR)s11432-012-4562-2-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Wang, QunHuan verfasserin aut Optimal user scheduling and power control in multi-user cognitive broadcast systems 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation. cognitive radio (dpeaa)DE-He213 distributed (dpeaa)DE-He213 spatial spectrum holes (dpeaa)DE-He213 opportunistic scheduling (dpeaa)DE-He213 power allocation (dpeaa)DE-He213 Wang, HuiMing verfasserin aut Yin, QinYe verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 55(2012), 6 vom: 24. Feb., Seite 1402-1414 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:55 year:2012 number:6 day:24 month:02 pages:1402-1414 https://dx.doi.org/10.1007/s11432-012-4562-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 55 2012 6 24 02 1402-1414 |
allfieldsSound |
10.1007/s11432-012-4562-2 doi (DE-627)SPR019308833 (SPR)s11432-012-4562-2-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Wang, QunHuan verfasserin aut Optimal user scheduling and power control in multi-user cognitive broadcast systems 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation. cognitive radio (dpeaa)DE-He213 distributed (dpeaa)DE-He213 spatial spectrum holes (dpeaa)DE-He213 opportunistic scheduling (dpeaa)DE-He213 power allocation (dpeaa)DE-He213 Wang, HuiMing verfasserin aut Yin, QinYe verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 55(2012), 6 vom: 24. Feb., Seite 1402-1414 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:55 year:2012 number:6 day:24 month:02 pages:1402-1414 https://dx.doi.org/10.1007/s11432-012-4562-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 55 2012 6 24 02 1402-1414 |
language |
English |
source |
Enthalten in Science in China 55(2012), 6 vom: 24. Feb., Seite 1402-1414 volume:55 year:2012 number:6 day:24 month:02 pages:1402-1414 |
sourceStr |
Enthalten in Science in China 55(2012), 6 vom: 24. Feb., Seite 1402-1414 volume:55 year:2012 number:6 day:24 month:02 pages:1402-1414 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
cognitive radio distributed spatial spectrum holes opportunistic scheduling power allocation |
dewey-raw |
070 |
isfreeaccess_bool |
false |
container_title |
Science in China |
authorswithroles_txt_mv |
Wang, QunHuan @@aut@@ Wang, HuiMing @@aut@@ Yin, QinYe @@aut@@ |
publishDateDaySort_date |
2012-02-24T00:00:00Z |
hierarchy_top_id |
385614764 |
dewey-sort |
270 |
id |
SPR019308833 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR019308833</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111065535.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2012 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11432-012-4562-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR019308833</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11432-012-4562-2-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">070</subfield><subfield code="a">004</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, QunHuan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Optimal user scheduling and power control in multi-user cognitive broadcast systems</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cognitive radio</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">distributed</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">spatial spectrum holes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">opportunistic scheduling</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">power allocation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, HuiMing</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yin, QinYe</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Science in China</subfield><subfield code="d">Heidelberg : Springer, 2001</subfield><subfield code="g">55(2012), 6 vom: 24. Feb., Seite 1402-1414</subfield><subfield code="w">(DE-627)385614764</subfield><subfield code="w">(DE-600)2142898-0</subfield><subfield code="x">1862-2836</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:55</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:6</subfield><subfield code="g">day:24</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:1402-1414</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s11432-012-4562-2</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-BBI</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-ASE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.00</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">55</subfield><subfield code="j">2012</subfield><subfield code="e">6</subfield><subfield code="b">24</subfield><subfield code="c">02</subfield><subfield code="h">1402-1414</subfield></datafield></record></collection>
|
author |
Wang, QunHuan |
spellingShingle |
Wang, QunHuan ddc 070 bkl 54.00 misc cognitive radio misc distributed misc spatial spectrum holes misc opportunistic scheduling misc power allocation Optimal user scheduling and power control in multi-user cognitive broadcast systems |
authorStr |
Wang, QunHuan |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)385614764 |
format |
electronic Article |
dewey-ones |
070 - News media, journalism & publishing 004 - Data processing & computer science |
delete_txt_mv |
keep |
author_role |
aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
1862-2836 |
topic_title |
070 004 ASE 54.00 bkl Optimal user scheduling and power control in multi-user cognitive broadcast systems cognitive radio (dpeaa)DE-He213 distributed (dpeaa)DE-He213 spatial spectrum holes (dpeaa)DE-He213 opportunistic scheduling (dpeaa)DE-He213 power allocation (dpeaa)DE-He213 |
topic |
ddc 070 bkl 54.00 misc cognitive radio misc distributed misc spatial spectrum holes misc opportunistic scheduling misc power allocation |
topic_unstemmed |
ddc 070 bkl 54.00 misc cognitive radio misc distributed misc spatial spectrum holes misc opportunistic scheduling misc power allocation |
topic_browse |
ddc 070 bkl 54.00 misc cognitive radio misc distributed misc spatial spectrum holes misc opportunistic scheduling misc power allocation |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Science in China |
hierarchy_parent_id |
385614764 |
dewey-tens |
070 - News media, journalism & publishing 000 - Computer science, knowledge & systems |
hierarchy_top_title |
Science in China |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)385614764 (DE-600)2142898-0 |
title |
Optimal user scheduling and power control in multi-user cognitive broadcast systems |
ctrlnum |
(DE-627)SPR019308833 (SPR)s11432-012-4562-2-e |
title_full |
Optimal user scheduling and power control in multi-user cognitive broadcast systems |
author_sort |
Wang, QunHuan |
journal |
Science in China |
journalStr |
Science in China |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
000 - Computer science, information & general works |
recordtype |
marc |
publishDateSort |
2012 |
contenttype_str_mv |
txt |
container_start_page |
1402 |
author_browse |
Wang, QunHuan Wang, HuiMing Yin, QinYe |
container_volume |
55 |
class |
070 004 ASE 54.00 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Wang, QunHuan |
doi_str_mv |
10.1007/s11432-012-4562-2 |
dewey-full |
070 004 |
author2-role |
verfasserin |
title_sort |
optimal user scheduling and power control in multi-user cognitive broadcast systems |
title_auth |
Optimal user scheduling and power control in multi-user cognitive broadcast systems |
abstract |
Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation. |
abstractGer |
Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation. |
abstract_unstemmed |
Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 |
container_issue |
6 |
title_short |
Optimal user scheduling and power control in multi-user cognitive broadcast systems |
url |
https://dx.doi.org/10.1007/s11432-012-4562-2 |
remote_bool |
true |
author2 |
Wang, HuiMing Yin, QinYe |
author2Str |
Wang, HuiMing Yin, QinYe |
ppnlink |
385614764 |
mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s11432-012-4562-2 |
up_date |
2024-07-04T01:03:19.430Z |
_version_ |
1803608391084408832 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR019308833</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111065535.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2012 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11432-012-4562-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR019308833</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11432-012-4562-2-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">070</subfield><subfield code="a">004</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, QunHuan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Optimal user scheduling and power control in multi-user cognitive broadcast systems</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Cognitive radio systems should not only have the ability to sense and exploit “frequency spectrum holes”, but also the ability to sense and utilize “spatial spectrum holes”. In this paper, we consider the issue of maximizing the throughput of the cognitive systems by fully utilizing “spatial spectrum holes” brought in by multiple cognitive users, in the scenario where a pair of licensed users and a cognitive broadcast system share multiple spectrum bands. By exploiting the channel reciprocity under the premise that the licensed system adopts the time-division-duplexing (TDD) mode, we propose a more practical cognitive access scheme that can sense the interference at the licensed user caused by the cognitive transmitter, based on the existing feedback signals from the licensed user to the licensed base station. Taking both interferences from the licensed base station to the cognitive receiver and from the cognitive transmitter to the licensed user into consideration, we investigate the optimal user scheduling and power allocation scheme that can maximize the ergodic sum rate of the cognitive system. We show that scheduling the user whose channel gain to interference and noise ratio (CGINR) is the largest for each frequency band is optimal. We also derive the dynamic power allocation scheme meeting the three practical constraints, i.e., the transmitter’s average transmission power constraint, the power amplifier’s instantaneous transmission power constraint, and the interference power constraint at the licensed user. The result shows that in different coherent time intervals and different frequency bands, the power allocation has a multi-level waterfilling structure. Theoretical analysis shows that the strategy scheduling user with the largest CGINR introduces significant performance improvement compared with the traditional strategy scheduling user with the largest channel gain to noise ratio (CGNR). We also illustrate the impact of power constraints and the number of users on system performance by simulation.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cognitive radio</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">distributed</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">spatial spectrum holes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">opportunistic scheduling</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">power allocation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, HuiMing</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yin, QinYe</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Science in China</subfield><subfield code="d">Heidelberg : Springer, 2001</subfield><subfield code="g">55(2012), 6 vom: 24. Feb., Seite 1402-1414</subfield><subfield code="w">(DE-627)385614764</subfield><subfield code="w">(DE-600)2142898-0</subfield><subfield code="x">1862-2836</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:55</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:6</subfield><subfield code="g">day:24</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:1402-1414</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s11432-012-4562-2</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-BBI</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-ASE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.00</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">55</subfield><subfield code="j">2012</subfield><subfield code="e">6</subfield><subfield code="b">24</subfield><subfield code="c">02</subfield><subfield code="h">1402-1414</subfield></datafield></record></collection>
|
score |
7.3995905 |