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

[1] 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...

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Main Authors: Liu, Xin, Bi, Guoan, Jia, Min, Guan, Yong Liang, Zhong, Weizhi, Lin, Rui
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/98022
http://hdl.handle.net/10220/12241
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author Liu, Xin
Bi, Guoan
Jia, Min
Guan, Yong Liang
Zhong, Weizhi
Lin, Rui
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Liu, Xin
Bi, Guoan
Jia, Min
Guan, Yong Liang
Zhong, Weizhi
Lin, Rui
author_sort Liu, Xin
collection NTU
description [1] 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.
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spelling ntu-10356/980222020-03-07T14:02:47Z Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection Liu, Xin Bi, Guoan Jia, Min Guan, Yong Liang Zhong, Weizhi Lin, Rui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering [1] 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. Published version 2013-07-25T06:26:10Z 2019-12-06T19:49:44Z 2013-07-25T06:26:10Z 2019-12-06T19:49:44Z 2013 2013 Journal Article Liu, X., Bi, G., Jia, M., Guan, Y. L., Zhong, W., & Lin, R. (2013). Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection. Radio Science, 48, 1–12. 0048-6604 https://hdl.handle.net/10356/98022 http://hdl.handle.net/10220/12241 10.1002/rds.20043 en Radio science © 2013 American Geophysical Union. This paper was published in Radio Science and is made available as an electronic reprint (preprint) with permission of American Geophysical Union. The paper can be found at the following official DOI: [http://dx.doi.org/10.1002/rds.20043]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Liu, Xin
Bi, Guoan
Jia, Min
Guan, Yong Liang
Zhong, Weizhi
Lin, Rui
Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection
title Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection
title_full Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection
title_fullStr Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection
title_full_unstemmed Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection
title_short Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection
title_sort joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection
topic DRNTU::Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/98022
http://hdl.handle.net/10220/12241
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