Relay Selection Algorithm for Cognitive Relay Network
Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jin, Yong [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer Science+Business Media New York 2017 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Wireless personal communications - Springer US, 1994, 96(2017), 4 vom: 02. Juni, Seite 6183-6195 |
|---|---|
| Übergeordnetes Werk: |
volume:96 ; year:2017 ; number:4 ; day:02 ; month:06 ; pages:6183-6195 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11277-017-4472-0 |
|---|
| Katalog-ID: |
OLC2053810815 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2053810815 | ||
| 003 | DE-627 | ||
| 005 | 20230504080019.0 | ||
| 007 | tu | ||
| 008 | 200819s2017 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s11277-017-4472-0 |2 doi | |
| 035 | |a (DE-627)OLC2053810815 | ||
| 035 | |a (DE-He213)s11277-017-4472-0-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 620 |q VZ |
| 100 | 1 | |a Jin, Yong |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Relay Selection Algorithm for Cognitive Relay Network |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media New York 2017 | ||
| 520 | |a Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network. | ||
| 650 | 4 | |a Cognitive relay network | |
| 650 | 4 | |a Relay selection | |
| 650 | 4 | |a Signal-to-interference-and-noise ratio (SINR) | |
| 650 | 4 | |a Convex optimization | |
| 700 | 1 | |a Hou, Yunshan |4 aut | |
| 700 | 1 | |a Hu, Zhentao |4 aut | |
| 700 | 1 | |a Liu, Xianxing |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Wireless personal communications |d Springer US, 1994 |g 96(2017), 4 vom: 02. Juni, Seite 6183-6195 |w (DE-627)188950273 |w (DE-600)1287489-9 |w (DE-576)049958909 |x 0929-6212 |7 nnns |
| 773 | 1 | 8 | |g volume:96 |g year:2017 |g number:4 |g day:02 |g month:06 |g pages:6183-6195 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s11277-017-4472-0 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-MKW | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_4266 | ||
| 951 | |a AR | ||
| 952 | |d 96 |j 2017 |e 4 |b 02 |c 06 |h 6183-6195 | ||
| author_variant |
y j yj y h yh z h zh x l xl |
|---|---|
| matchkey_str |
article:09296212:2017----::easlcinloihfront |
| hierarchy_sort_str |
2017 |
| publishDate |
2017 |
| allfields |
10.1007/s11277-017-4472-0 doi (DE-627)OLC2053810815 (DE-He213)s11277-017-4472-0-p DE-627 ger DE-627 rakwb eng 620 VZ Jin, Yong verfasserin aut Relay Selection Algorithm for Cognitive Relay Network 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network. Cognitive relay network Relay selection Signal-to-interference-and-noise ratio (SINR) Convex optimization Hou, Yunshan aut Hu, Zhentao aut Liu, Xianxing aut Enthalten in Wireless personal communications Springer US, 1994 96(2017), 4 vom: 02. Juni, Seite 6183-6195 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:96 year:2017 number:4 day:02 month:06 pages:6183-6195 https://doi.org/10.1007/s11277-017-4472-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 AR 96 2017 4 02 06 6183-6195 |
| spelling |
10.1007/s11277-017-4472-0 doi (DE-627)OLC2053810815 (DE-He213)s11277-017-4472-0-p DE-627 ger DE-627 rakwb eng 620 VZ Jin, Yong verfasserin aut Relay Selection Algorithm for Cognitive Relay Network 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network. Cognitive relay network Relay selection Signal-to-interference-and-noise ratio (SINR) Convex optimization Hou, Yunshan aut Hu, Zhentao aut Liu, Xianxing aut Enthalten in Wireless personal communications Springer US, 1994 96(2017), 4 vom: 02. Juni, Seite 6183-6195 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:96 year:2017 number:4 day:02 month:06 pages:6183-6195 https://doi.org/10.1007/s11277-017-4472-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 AR 96 2017 4 02 06 6183-6195 |
| allfields_unstemmed |
10.1007/s11277-017-4472-0 doi (DE-627)OLC2053810815 (DE-He213)s11277-017-4472-0-p DE-627 ger DE-627 rakwb eng 620 VZ Jin, Yong verfasserin aut Relay Selection Algorithm for Cognitive Relay Network 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network. Cognitive relay network Relay selection Signal-to-interference-and-noise ratio (SINR) Convex optimization Hou, Yunshan aut Hu, Zhentao aut Liu, Xianxing aut Enthalten in Wireless personal communications Springer US, 1994 96(2017), 4 vom: 02. Juni, Seite 6183-6195 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:96 year:2017 number:4 day:02 month:06 pages:6183-6195 https://doi.org/10.1007/s11277-017-4472-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 AR 96 2017 4 02 06 6183-6195 |
| allfieldsGer |
10.1007/s11277-017-4472-0 doi (DE-627)OLC2053810815 (DE-He213)s11277-017-4472-0-p DE-627 ger DE-627 rakwb eng 620 VZ Jin, Yong verfasserin aut Relay Selection Algorithm for Cognitive Relay Network 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network. Cognitive relay network Relay selection Signal-to-interference-and-noise ratio (SINR) Convex optimization Hou, Yunshan aut Hu, Zhentao aut Liu, Xianxing aut Enthalten in Wireless personal communications Springer US, 1994 96(2017), 4 vom: 02. Juni, Seite 6183-6195 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:96 year:2017 number:4 day:02 month:06 pages:6183-6195 https://doi.org/10.1007/s11277-017-4472-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 AR 96 2017 4 02 06 6183-6195 |
| allfieldsSound |
10.1007/s11277-017-4472-0 doi (DE-627)OLC2053810815 (DE-He213)s11277-017-4472-0-p DE-627 ger DE-627 rakwb eng 620 VZ Jin, Yong verfasserin aut Relay Selection Algorithm for Cognitive Relay Network 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network. Cognitive relay network Relay selection Signal-to-interference-and-noise ratio (SINR) Convex optimization Hou, Yunshan aut Hu, Zhentao aut Liu, Xianxing aut Enthalten in Wireless personal communications Springer US, 1994 96(2017), 4 vom: 02. Juni, Seite 6183-6195 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:96 year:2017 number:4 day:02 month:06 pages:6183-6195 https://doi.org/10.1007/s11277-017-4472-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 AR 96 2017 4 02 06 6183-6195 |
| language |
English |
| source |
Enthalten in Wireless personal communications 96(2017), 4 vom: 02. Juni, Seite 6183-6195 volume:96 year:2017 number:4 day:02 month:06 pages:6183-6195 |
| sourceStr |
Enthalten in Wireless personal communications 96(2017), 4 vom: 02. Juni, Seite 6183-6195 volume:96 year:2017 number:4 day:02 month:06 pages:6183-6195 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Cognitive relay network Relay selection Signal-to-interference-and-noise ratio (SINR) Convex optimization |
| dewey-raw |
620 |
| isfreeaccess_bool |
false |
| container_title |
Wireless personal communications |
| authorswithroles_txt_mv |
Jin, Yong @@aut@@ Hou, Yunshan @@aut@@ Hu, Zhentao @@aut@@ Liu, Xianxing @@aut@@ |
| publishDateDaySort_date |
2017-06-02T00:00:00Z |
| hierarchy_top_id |
188950273 |
| dewey-sort |
3620 |
| id |
OLC2053810815 |
| 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">OLC2053810815</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504080019.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11277-017-4472-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2053810815</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11277-017-4472-0-p</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">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jin, Yong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Relay Selection Algorithm for Cognitive Relay Network</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cognitive relay network</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Relay selection</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal-to-interference-and-noise ratio (SINR)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Convex optimization</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hou, Yunshan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hu, Zhentao</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Xianxing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Wireless personal communications</subfield><subfield code="d">Springer US, 1994</subfield><subfield code="g">96(2017), 4 vom: 02. Juni, Seite 6183-6195</subfield><subfield code="w">(DE-627)188950273</subfield><subfield code="w">(DE-600)1287489-9</subfield><subfield code="w">(DE-576)049958909</subfield><subfield code="x">0929-6212</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:96</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:4</subfield><subfield code="g">day:02</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:6183-6195</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11277-017-4472-0</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_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MKW</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_4266</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">96</subfield><subfield code="j">2017</subfield><subfield code="e">4</subfield><subfield code="b">02</subfield><subfield code="c">06</subfield><subfield code="h">6183-6195</subfield></datafield></record></collection>
|
| author |
Jin, Yong |
| spellingShingle |
Jin, Yong ddc 620 misc Cognitive relay network misc Relay selection misc Signal-to-interference-and-noise ratio (SINR) misc Convex optimization Relay Selection Algorithm for Cognitive Relay Network |
| authorStr |
Jin, Yong |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)188950273 |
| format |
Article |
| dewey-ones |
620 - Engineering & allied operations |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0929-6212 |
| topic_title |
620 VZ Relay Selection Algorithm for Cognitive Relay Network Cognitive relay network Relay selection Signal-to-interference-and-noise ratio (SINR) Convex optimization |
| topic |
ddc 620 misc Cognitive relay network misc Relay selection misc Signal-to-interference-and-noise ratio (SINR) misc Convex optimization |
| topic_unstemmed |
ddc 620 misc Cognitive relay network misc Relay selection misc Signal-to-interference-and-noise ratio (SINR) misc Convex optimization |
| topic_browse |
ddc 620 misc Cognitive relay network misc Relay selection misc Signal-to-interference-and-noise ratio (SINR) misc Convex optimization |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Wireless personal communications |
| hierarchy_parent_id |
188950273 |
| dewey-tens |
620 - Engineering |
| hierarchy_top_title |
Wireless personal communications |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 |
| title |
Relay Selection Algorithm for Cognitive Relay Network |
| ctrlnum |
(DE-627)OLC2053810815 (DE-He213)s11277-017-4472-0-p |
| title_full |
Relay Selection Algorithm for Cognitive Relay Network |
| author_sort |
Jin, Yong |
| journal |
Wireless personal communications |
| journalStr |
Wireless personal communications |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
txt |
| container_start_page |
6183 |
| author_browse |
Jin, Yong Hou, Yunshan Hu, Zhentao Liu, Xianxing |
| container_volume |
96 |
| class |
620 VZ |
| format_se |
Aufsätze |
| author-letter |
Jin, Yong |
| doi_str_mv |
10.1007/s11277-017-4472-0 |
| dewey-full |
620 |
| title_sort |
relay selection algorithm for cognitive relay network |
| title_auth |
Relay Selection Algorithm for Cognitive Relay Network |
| abstract |
Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network. © Springer Science+Business Media New York 2017 |
| abstractGer |
Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network. © Springer Science+Business Media New York 2017 |
| abstract_unstemmed |
Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network. © Springer Science+Business Media New York 2017 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 |
| container_issue |
4 |
| title_short |
Relay Selection Algorithm for Cognitive Relay Network |
| url |
https://doi.org/10.1007/s11277-017-4472-0 |
| remote_bool |
false |
| author2 |
Hou, Yunshan Hu, Zhentao Liu, Xianxing |
| author2Str |
Hou, Yunshan Hu, Zhentao Liu, Xianxing |
| ppnlink |
188950273 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s11277-017-4472-0 |
| up_date |
2024-07-03T20:43:47.879Z |
| _version_ |
1803592063128698880 |
| 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">OLC2053810815</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504080019.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11277-017-4472-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2053810815</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11277-017-4472-0-p</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">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jin, Yong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Relay Selection Algorithm for Cognitive Relay Network</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In the cognitive relay network, due to the different fading characteristics of communication links, not all relay nodes have constructive impacts on the system performance. A relay selection algorithm is proposed to obtain the minimum relay transmission power while satisfying the secondary user SINR requirements and interference temperature constraints. The algorithm first introduces ℓ1 norm as the approximation of ℓ0 norm, then constructs a minimum relay transmission power constraint problem to select appropriate relays. Simulation results show that the algorithm can efficiently conduct relay selection with mild system transmission power increase over traditional full cooperation cognitive relay network.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cognitive relay network</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Relay selection</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal-to-interference-and-noise ratio (SINR)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Convex optimization</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hou, Yunshan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hu, Zhentao</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Xianxing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Wireless personal communications</subfield><subfield code="d">Springer US, 1994</subfield><subfield code="g">96(2017), 4 vom: 02. Juni, Seite 6183-6195</subfield><subfield code="w">(DE-627)188950273</subfield><subfield code="w">(DE-600)1287489-9</subfield><subfield code="w">(DE-576)049958909</subfield><subfield code="x">0929-6212</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:96</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:4</subfield><subfield code="g">day:02</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:6183-6195</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11277-017-4472-0</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_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MKW</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_4266</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">96</subfield><subfield code="j">2017</subfield><subfield code="e">4</subfield><subfield code="b">02</subfield><subfield code="c">06</subfield><subfield code="h">6183-6195</subfield></datafield></record></collection>
|
| score |
7.398904 |