Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications
The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in th...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Changqing Luo [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
energy-aware centralized relay selection scheme partially observable Markov decision process |
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| Übergeordnetes Werk: |
Enthalten in: IEEE journal on selected areas in communications - New York, NY : IEEE, 1983, 33(2015), 5, Seite 922-932 |
|---|---|
| Übergeordnetes Werk: |
volume:33 ; year:2015 ; number:5 ; pages:922-932 |
| Links: |
|---|
| DOI / URN: |
10.1109/JSAC.2014.2361085 |
|---|
| Katalog-ID: |
OLC1956686681 |
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| 520 | |a The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in the system capacity. The increase in transmission power can improve the system capacity, but results in high energy consumption, which incurs the increase of carbon emission and network operational cost. Most of the existing schemes for CR systems have not jointly considered the imperfect sensing scenario and the tradeoff between the system capacity and energy consumption. To fill in this gap, this paper proposes an energy-aware centralized relay selection scheme that takes into account the relay selection, channel access, and power allocation jointly in CR with imperfect sensing. Specifically, the CR system is formulated as a partially observable Markov decision process (POMDP) to achieve the goal of balancing the system capacity and energy consumption as well as maximizing the system reward. The optimal policy for relay selection, channel access, and power allocation is then derived by virtue of a dynamic programming approach. A dimension reduction strategy is further applied to reduce its high computation complexity. Extensive simulation experiments and results are presented and analysed to demonstrate the significant performance improvement compared to the existing schemes. The performance results show that the received reward increases more than 50% and the network lifetime increases more than 35%, but the system capacity is reduced less than 6% only. | ||
| 650 | 4 | |a Resource management | |
| 650 | 4 | |a Green Communications | |
| 650 | 4 | |a Sensors | |
| 650 | 4 | |a channel access | |
| 650 | 4 | |a system capacity | |
| 650 | 4 | |a energy consumption | |
| 650 | 4 | |a cognitive radio | |
| 650 | 4 | |a energy-aware centralized relay selection scheme | |
| 650 | 4 | |a Relays | |
| 650 | 4 | |a POMDP | |
| 650 | 4 | |a spatial diversity | |
| 650 | 4 | |a dynamic programming | |
| 650 | 4 | |a Joints | |
| 650 | 4 | |a partially observable Markov decision process | |
| 650 | 4 | |a relay networks (telecommunication) | |
| 650 | 4 | |a joint relay scheduling | |
| 650 | 4 | |a Imperfect Sensing | |
| 650 | 4 | |a dynamic programming approach | |
| 650 | 4 | |a CR systems | |
| 650 | 4 | |a Cooperative Communication | |
| 650 | 4 | |a power allocation | |
| 650 | 4 | |a Markov processes | |
| 650 | 4 | |a green cognitive radio communications | |
| 700 | 0 | |a Geyong Min |4 oth | |
| 700 | 1 | |a Yu, F. Richard |4 oth | |
| 700 | 0 | |a Yan Zhang |4 oth | |
| 700 | 1 | |a Yang, Laurence T |4 oth | |
| 700 | 1 | |a Leung, Victor C. M |4 oth | |
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10.1109/JSAC.2014.2361085 doi PQ20160617 (DE-627)OLC1956686681 (DE-599)GBVOLC1956686681 (PRQ)c1313-23a2036b119333d87634a84872bec11ec66dd115d309f7be159482d16097df930 (KEY)0128448720150000033000500922jointrelayschedulingchannelaccessandpowerallocatio DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl Changqing Luo verfasserin aut Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in the system capacity. The increase in transmission power can improve the system capacity, but results in high energy consumption, which incurs the increase of carbon emission and network operational cost. Most of the existing schemes for CR systems have not jointly considered the imperfect sensing scenario and the tradeoff between the system capacity and energy consumption. To fill in this gap, this paper proposes an energy-aware centralized relay selection scheme that takes into account the relay selection, channel access, and power allocation jointly in CR with imperfect sensing. Specifically, the CR system is formulated as a partially observable Markov decision process (POMDP) to achieve the goal of balancing the system capacity and energy consumption as well as maximizing the system reward. The optimal policy for relay selection, channel access, and power allocation is then derived by virtue of a dynamic programming approach. A dimension reduction strategy is further applied to reduce its high computation complexity. Extensive simulation experiments and results are presented and analysed to demonstrate the significant performance improvement compared to the existing schemes. The performance results show that the received reward increases more than 50% and the network lifetime increases more than 35%, but the system capacity is reduced less than 6% only. Resource management Green Communications Sensors channel access system capacity energy consumption cognitive radio energy-aware centralized relay selection scheme Relays POMDP spatial diversity dynamic programming Joints partially observable Markov decision process relay networks (telecommunication) joint relay scheduling Imperfect Sensing dynamic programming approach CR systems Cooperative Communication power allocation Markov processes green cognitive radio communications Geyong Min oth Yu, F. Richard oth Yan Zhang oth Yang, Laurence T oth Leung, Victor C. M oth Enthalten in IEEE journal on selected areas in communications New York, NY : IEEE, 1983 33(2015), 5, Seite 922-932 (DE-627)130399868 (DE-600)605072-4 (DE-576)015903427 0733-8716 nnns volume:33 year:2015 number:5 pages:922-932 http://dx.doi.org/10.1109/JSAC.2014.2361085 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913498 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2061 53.00 AVZ AR 33 2015 5 922-932 |
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10.1109/JSAC.2014.2361085 doi PQ20160617 (DE-627)OLC1956686681 (DE-599)GBVOLC1956686681 (PRQ)c1313-23a2036b119333d87634a84872bec11ec66dd115d309f7be159482d16097df930 (KEY)0128448720150000033000500922jointrelayschedulingchannelaccessandpowerallocatio DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl Changqing Luo verfasserin aut Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in the system capacity. The increase in transmission power can improve the system capacity, but results in high energy consumption, which incurs the increase of carbon emission and network operational cost. Most of the existing schemes for CR systems have not jointly considered the imperfect sensing scenario and the tradeoff between the system capacity and energy consumption. To fill in this gap, this paper proposes an energy-aware centralized relay selection scheme that takes into account the relay selection, channel access, and power allocation jointly in CR with imperfect sensing. Specifically, the CR system is formulated as a partially observable Markov decision process (POMDP) to achieve the goal of balancing the system capacity and energy consumption as well as maximizing the system reward. The optimal policy for relay selection, channel access, and power allocation is then derived by virtue of a dynamic programming approach. A dimension reduction strategy is further applied to reduce its high computation complexity. Extensive simulation experiments and results are presented and analysed to demonstrate the significant performance improvement compared to the existing schemes. The performance results show that the received reward increases more than 50% and the network lifetime increases more than 35%, but the system capacity is reduced less than 6% only. Resource management Green Communications Sensors channel access system capacity energy consumption cognitive radio energy-aware centralized relay selection scheme Relays POMDP spatial diversity dynamic programming Joints partially observable Markov decision process relay networks (telecommunication) joint relay scheduling Imperfect Sensing dynamic programming approach CR systems Cooperative Communication power allocation Markov processes green cognitive radio communications Geyong Min oth Yu, F. Richard oth Yan Zhang oth Yang, Laurence T oth Leung, Victor C. M oth Enthalten in IEEE journal on selected areas in communications New York, NY : IEEE, 1983 33(2015), 5, Seite 922-932 (DE-627)130399868 (DE-600)605072-4 (DE-576)015903427 0733-8716 nnns volume:33 year:2015 number:5 pages:922-932 http://dx.doi.org/10.1109/JSAC.2014.2361085 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913498 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2061 53.00 AVZ AR 33 2015 5 922-932 |
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10.1109/JSAC.2014.2361085 doi PQ20160617 (DE-627)OLC1956686681 (DE-599)GBVOLC1956686681 (PRQ)c1313-23a2036b119333d87634a84872bec11ec66dd115d309f7be159482d16097df930 (KEY)0128448720150000033000500922jointrelayschedulingchannelaccessandpowerallocatio DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl Changqing Luo verfasserin aut Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in the system capacity. The increase in transmission power can improve the system capacity, but results in high energy consumption, which incurs the increase of carbon emission and network operational cost. Most of the existing schemes for CR systems have not jointly considered the imperfect sensing scenario and the tradeoff between the system capacity and energy consumption. To fill in this gap, this paper proposes an energy-aware centralized relay selection scheme that takes into account the relay selection, channel access, and power allocation jointly in CR with imperfect sensing. Specifically, the CR system is formulated as a partially observable Markov decision process (POMDP) to achieve the goal of balancing the system capacity and energy consumption as well as maximizing the system reward. The optimal policy for relay selection, channel access, and power allocation is then derived by virtue of a dynamic programming approach. A dimension reduction strategy is further applied to reduce its high computation complexity. Extensive simulation experiments and results are presented and analysed to demonstrate the significant performance improvement compared to the existing schemes. The performance results show that the received reward increases more than 50% and the network lifetime increases more than 35%, but the system capacity is reduced less than 6% only. Resource management Green Communications Sensors channel access system capacity energy consumption cognitive radio energy-aware centralized relay selection scheme Relays POMDP spatial diversity dynamic programming Joints partially observable Markov decision process relay networks (telecommunication) joint relay scheduling Imperfect Sensing dynamic programming approach CR systems Cooperative Communication power allocation Markov processes green cognitive radio communications Geyong Min oth Yu, F. Richard oth Yan Zhang oth Yang, Laurence T oth Leung, Victor C. M oth Enthalten in IEEE journal on selected areas in communications New York, NY : IEEE, 1983 33(2015), 5, Seite 922-932 (DE-627)130399868 (DE-600)605072-4 (DE-576)015903427 0733-8716 nnns volume:33 year:2015 number:5 pages:922-932 http://dx.doi.org/10.1109/JSAC.2014.2361085 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913498 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2061 53.00 AVZ AR 33 2015 5 922-932 |
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10.1109/JSAC.2014.2361085 doi PQ20160617 (DE-627)OLC1956686681 (DE-599)GBVOLC1956686681 (PRQ)c1313-23a2036b119333d87634a84872bec11ec66dd115d309f7be159482d16097df930 (KEY)0128448720150000033000500922jointrelayschedulingchannelaccessandpowerallocatio DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl Changqing Luo verfasserin aut Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in the system capacity. The increase in transmission power can improve the system capacity, but results in high energy consumption, which incurs the increase of carbon emission and network operational cost. Most of the existing schemes for CR systems have not jointly considered the imperfect sensing scenario and the tradeoff between the system capacity and energy consumption. To fill in this gap, this paper proposes an energy-aware centralized relay selection scheme that takes into account the relay selection, channel access, and power allocation jointly in CR with imperfect sensing. Specifically, the CR system is formulated as a partially observable Markov decision process (POMDP) to achieve the goal of balancing the system capacity and energy consumption as well as maximizing the system reward. The optimal policy for relay selection, channel access, and power allocation is then derived by virtue of a dynamic programming approach. A dimension reduction strategy is further applied to reduce its high computation complexity. Extensive simulation experiments and results are presented and analysed to demonstrate the significant performance improvement compared to the existing schemes. The performance results show that the received reward increases more than 50% and the network lifetime increases more than 35%, but the system capacity is reduced less than 6% only. Resource management Green Communications Sensors channel access system capacity energy consumption cognitive radio energy-aware centralized relay selection scheme Relays POMDP spatial diversity dynamic programming Joints partially observable Markov decision process relay networks (telecommunication) joint relay scheduling Imperfect Sensing dynamic programming approach CR systems Cooperative Communication power allocation Markov processes green cognitive radio communications Geyong Min oth Yu, F. Richard oth Yan Zhang oth Yang, Laurence T oth Leung, Victor C. M oth Enthalten in IEEE journal on selected areas in communications New York, NY : IEEE, 1983 33(2015), 5, Seite 922-932 (DE-627)130399868 (DE-600)605072-4 (DE-576)015903427 0733-8716 nnns volume:33 year:2015 number:5 pages:922-932 http://dx.doi.org/10.1109/JSAC.2014.2361085 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913498 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2061 53.00 AVZ AR 33 2015 5 922-932 |
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10.1109/JSAC.2014.2361085 doi PQ20160617 (DE-627)OLC1956686681 (DE-599)GBVOLC1956686681 (PRQ)c1313-23a2036b119333d87634a84872bec11ec66dd115d309f7be159482d16097df930 (KEY)0128448720150000033000500922jointrelayschedulingchannelaccessandpowerallocatio DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl Changqing Luo verfasserin aut Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in the system capacity. The increase in transmission power can improve the system capacity, but results in high energy consumption, which incurs the increase of carbon emission and network operational cost. Most of the existing schemes for CR systems have not jointly considered the imperfect sensing scenario and the tradeoff between the system capacity and energy consumption. To fill in this gap, this paper proposes an energy-aware centralized relay selection scheme that takes into account the relay selection, channel access, and power allocation jointly in CR with imperfect sensing. Specifically, the CR system is formulated as a partially observable Markov decision process (POMDP) to achieve the goal of balancing the system capacity and energy consumption as well as maximizing the system reward. The optimal policy for relay selection, channel access, and power allocation is then derived by virtue of a dynamic programming approach. A dimension reduction strategy is further applied to reduce its high computation complexity. Extensive simulation experiments and results are presented and analysed to demonstrate the significant performance improvement compared to the existing schemes. The performance results show that the received reward increases more than 50% and the network lifetime increases more than 35%, but the system capacity is reduced less than 6% only. Resource management Green Communications Sensors channel access system capacity energy consumption cognitive radio energy-aware centralized relay selection scheme Relays POMDP spatial diversity dynamic programming Joints partially observable Markov decision process relay networks (telecommunication) joint relay scheduling Imperfect Sensing dynamic programming approach CR systems Cooperative Communication power allocation Markov processes green cognitive radio communications Geyong Min oth Yu, F. Richard oth Yan Zhang oth Yang, Laurence T oth Leung, Victor C. M oth Enthalten in IEEE journal on selected areas in communications New York, NY : IEEE, 1983 33(2015), 5, Seite 922-932 (DE-627)130399868 (DE-600)605072-4 (DE-576)015903427 0733-8716 nnns volume:33 year:2015 number:5 pages:922-932 http://dx.doi.org/10.1109/JSAC.2014.2361085 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6913498 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2061 53.00 AVZ AR 33 2015 5 922-932 |
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Changqing Luo ddc 620 bkl 53.00 misc Resource management misc Green Communications misc Sensors misc channel access misc system capacity misc energy consumption misc cognitive radio misc energy-aware centralized relay selection scheme misc Relays misc POMDP misc spatial diversity misc dynamic programming misc Joints misc partially observable Markov decision process misc relay networks (telecommunication) misc joint relay scheduling misc Imperfect Sensing misc dynamic programming approach misc CR systems misc Cooperative Communication misc power allocation misc Markov processes misc green cognitive radio communications Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications |
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620 DNB 53.00 bkl Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications Resource management Green Communications Sensors channel access system capacity energy consumption cognitive radio energy-aware centralized relay selection scheme Relays POMDP spatial diversity dynamic programming Joints partially observable Markov decision process relay networks (telecommunication) joint relay scheduling Imperfect Sensing dynamic programming approach CR systems Cooperative Communication power allocation Markov processes green cognitive radio communications |
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Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications |
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The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in the system capacity. The increase in transmission power can improve the system capacity, but results in high energy consumption, which incurs the increase of carbon emission and network operational cost. Most of the existing schemes for CR systems have not jointly considered the imperfect sensing scenario and the tradeoff between the system capacity and energy consumption. To fill in this gap, this paper proposes an energy-aware centralized relay selection scheme that takes into account the relay selection, channel access, and power allocation jointly in CR with imperfect sensing. Specifically, the CR system is formulated as a partially observable Markov decision process (POMDP) to achieve the goal of balancing the system capacity and energy consumption as well as maximizing the system reward. The optimal policy for relay selection, channel access, and power allocation is then derived by virtue of a dynamic programming approach. A dimension reduction strategy is further applied to reduce its high computation complexity. Extensive simulation experiments and results are presented and analysed to demonstrate the significant performance improvement compared to the existing schemes. The performance results show that the received reward increases more than 50% and the network lifetime increases more than 35%, but the system capacity is reduced less than 6% only. |
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The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in the system capacity. The increase in transmission power can improve the system capacity, but results in high energy consumption, which incurs the increase of carbon emission and network operational cost. Most of the existing schemes for CR systems have not jointly considered the imperfect sensing scenario and the tradeoff between the system capacity and energy consumption. To fill in this gap, this paper proposes an energy-aware centralized relay selection scheme that takes into account the relay selection, channel access, and power allocation jointly in CR with imperfect sensing. Specifically, the CR system is formulated as a partially observable Markov decision process (POMDP) to achieve the goal of balancing the system capacity and energy consumption as well as maximizing the system reward. The optimal policy for relay selection, channel access, and power allocation is then derived by virtue of a dynamic programming approach. A dimension reduction strategy is further applied to reduce its high computation complexity. Extensive simulation experiments and results are presented and analysed to demonstrate the significant performance improvement compared to the existing schemes. The performance results show that the received reward increases more than 50% and the network lifetime increases more than 35%, but the system capacity is reduced less than 6% only. |
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The capacity of cognitive radio (CR) systems can be enhanced significantly by deploying relay nodes to exploit the spatial diversity. However, the inevitable imperfect sensing in CR has vital effects on the policy of relay selection, channel access, and power allocation that play pivotal roles in the system capacity. The increase in transmission power can improve the system capacity, but results in high energy consumption, which incurs the increase of carbon emission and network operational cost. Most of the existing schemes for CR systems have not jointly considered the imperfect sensing scenario and the tradeoff between the system capacity and energy consumption. To fill in this gap, this paper proposes an energy-aware centralized relay selection scheme that takes into account the relay selection, channel access, and power allocation jointly in CR with imperfect sensing. Specifically, the CR system is formulated as a partially observable Markov decision process (POMDP) to achieve the goal of balancing the system capacity and energy consumption as well as maximizing the system reward. The optimal policy for relay selection, channel access, and power allocation is then derived by virtue of a dynamic programming approach. A dimension reduction strategy is further applied to reduce its high computation complexity. Extensive simulation experiments and results are presented and analysed to demonstrate the significant performance improvement compared to the existing schemes. The performance results show that the received reward increases more than 50% and the network lifetime increases more than 35%, but the system capacity is reduced less than 6% only. |
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Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications |
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