Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection

In this paper, we consider a wideband cognitive radio system that operates over multiple idle subchannels. A joint optimization of sensing threshold and transmission power is proposed, which maximizes the total throughput subject to the constraints on the total interference, the total power, and the...

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Published inRadio science Vol. 48; no. 4; pp. 359 - 370
Main Authors Liu, Xin, Bi, Guoan, Jia, Min, Guan, Yong Liang, Zhong, Weizhi, Lin, Rui
Format Journal Article
LanguageEnglish
Published Washington Blackwell Publishing Ltd 01.07.2013
Subjects
Algorithms
Cognitive radio
cooperative sensing
Detection
energy detection
False alarms
Interference
Optimization
Optimization algorithms
Radios
Thresholds
throughput
Wideband
Online AccessGet full text
ISSN0048-6604
1944-799X
1944-799X
DOI10.1002/rds.20043

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Abstract In this paper, we consider a wideband cognitive radio system that operates over multiple idle subchannels. A joint optimization of sensing threshold and transmission power is proposed, which maximizes the total throughput subject to the constraints on the total interference, the total power, and the probabilities of false alarm and detection of each subchannel. An alternative joint optimization is proposed, which minimizes the total interference under the constraint of the total throughput. The bilevel optimization method is used to solve the proposed optimization problems with a minimized iteration complexity. The mixed‐variable optimization problem is divided into two single‐variable convex optimization subproblems: the upper level for threshold optimization and the lower level for power optimization. Weighed cooperative sensing is proposed to maximize the detection probability by choosing the optimal weighed factors. The simulations show that the proposed joint optimization algorithm can achieve desirable improvement on the throughput of cognitive radio at the same interference level to primary user, or vice versa within the limits on the probabilities of false alarm and miss detection, and the weighed cooperative sensing can considerably improve sensing performance compared with the unweighed cooperative sensing and single‐user sensing. Key Points A wideband cognitive radio (CR) system A joint optimization of sensing threshold and transmission power Proposed algorithm can achieve desirable improvement on throughput
AbstractList In this paper, we consider a wideband cognitive radio system that operates over multiple idle subchannels. A joint optimization of sensing threshold and transmission power is proposed, which maximizes the total throughput subject to the constraints on the total interference, the total power, and the probabilities of false alarm and detection of each subchannel. An alternative joint optimization is proposed, which minimizes the total interference under the constraint of the total throughput. The bilevel optimization method is used to solve the proposed optimization problems with a minimized iteration complexity. The mixed-variable optimization problem is divided into two single-variable convex optimization subproblems: the upper level for threshold optimization and the lower level for power optimization. Weighed cooperative sensing is proposed to maximize the detection probability by choosing the optimal weighed factors. The simulations show that the proposed joint optimization algorithm can achieve desirable improvement on the throughput of cognitive radio at the same interference level to primary user, or vice versa within the limits on the probabilities of false alarm and miss detection, and the weighed cooperative sensing can considerably improve sensing performance compared with the unweighed cooperative sensing and single-user sensing. Key Points * A wideband cognitive radio (CR) system * A joint optimization of sensing threshold and transmission power * Proposed algorithm can achieve desirable improvement on throughput
In this paper, we consider a wideband cognitive radio system that operates over multiple idle subchannels. A joint optimization of sensing threshold and transmission power is proposed, which maximizes the total throughput subject to the constraints on the total interference, the total power, and the probabilities of false alarm and detection of each subchannel. An alternative joint optimization is proposed, which minimizes the total interference under the constraint of the total throughput. The bilevel optimization method is used to solve the proposed optimization problems with a minimized iteration complexity. The mixed‐variable optimization problem is divided into two single‐variable convex optimization subproblems: the upper level for threshold optimization and the lower level for power optimization. Weighed cooperative sensing is proposed to maximize the detection probability by choosing the optimal weighed factors. The simulations show that the proposed joint optimization algorithm can achieve desirable improvement on the throughput of cognitive radio at the same interference level to primary user, or vice versa within the limits on the probabilities of false alarm and miss detection, and the weighed cooperative sensing can considerably improve sensing performance compared with the unweighed cooperative sensing and single‐user sensing. A wideband cognitive radio (CR) system A joint optimization of sensing threshold and transmission power Proposed algorithm can achieve desirable improvement on throughput
In this paper, we consider a wideband cognitive radio system that operates over multiple idle subchannels. A joint optimization of sensing threshold and transmission power is proposed, which maximizes the total throughput subject to the constraints on the total interference, the total power, and the probabilities of false alarm and detection of each subchannel. An alternative joint optimization is proposed, which minimizes the total interference under the constraint of the total throughput. The bilevel optimization method is used to solve the proposed optimization problems with a minimized iteration complexity. The mixed‐variable optimization problem is divided into two single‐variable convex optimization subproblems: the upper level for threshold optimization and the lower level for power optimization. Weighed cooperative sensing is proposed to maximize the detection probability by choosing the optimal weighed factors. The simulations show that the proposed joint optimization algorithm can achieve desirable improvement on the throughput of cognitive radio at the same interference level to primary user, or vice versa within the limits on the probabilities of false alarm and miss detection, and the weighed cooperative sensing can considerably improve sensing performance compared with the unweighed cooperative sensing and single‐user sensing. Key Points A wideband cognitive radio (CR) system A joint optimization of sensing threshold and transmission power Proposed algorithm can achieve desirable improvement on throughput
Author Guan, Yong Liang
Lin, Rui
Zhong, Weizhi
Liu, Xin
Jia, Min
Bi, Guoan
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Snippet In this paper, we consider a wideband cognitive radio system that operates over multiple idle subchannels. A joint optimization of sensing threshold and...
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StartPage 359
SubjectTerms Algorithms
Cognitive radio
cooperative sensing
Detection
energy detection
False alarms
Interference
Optimization
Optimization algorithms
Radios
Thresholds
throughput
Wideband
Title Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection
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