Computer Science ›› 2018, Vol. 45 ›› Issue (3): 98-101.doi: 10.11896/j.issn.1002-137X.2018.03.016

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Tradeoff Optimization of Spectrum Opportunity Discovery and Licensed User Protection in Dynamic Spectrum Management

TIAN Jia-qiang, CHEN Yong and ZHANG Jian-zhao   

  • Online:2018-03-15 Published:2018-11-13

Abstract: In dynamic spectrum management based on cognitive radio,spectrum sensing is desired to explore more spectrum opportunity while incurring less interference to licensed users.This paper investigated the tradeoff optimization of the two performance metrics,and constructed a joint optimization model in which the weighted sum of two metrics is regarded as objective function,and sensing duration and sensing threshold are regarded as variables. This problem is proved to be in the form of biconcave optimization problem (BOP).An optimization algorithm based on alternative convex search was proposed,which can quickly find the near optimal solutions without relying on the predefined sensing parameters.Simulation results demonstrate that the joint parameters optimization scheme generates 32.0% and 85.9% promotion over single parameter optimization schemes on average.

Key words: Energy sensing,Sensing duration,Sensing threshold,Joint optimization,Biconvex optimization

[1] MOHSEN G,BASSEM K,MAHDI B G,et al.Large-Scale Cognitive Cellular Systems:Resource Management Overview[J].IEEE Communication Magazine,2015,53(5):44-51.
[2] YUCEK T,ARSLAN H.A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications[J].IEEE Communications Surveys & Turtorials,2009,11(1):116-130.
[3] UMAR R,SHEIKH A U H,DERICHE M.Unveiling the Hidden Assumption of Energy Detector Based Spectrum Sensing for Cognitive Radio[J].IEEE Communications Surveys & Tuto-rials,2014,16(2):713-728.
[4] WANG N,GAO Y,ZHANG X.Adaptive Spectrum Sensing Algorithm under Different PU Utilization[J].IEEE Communication Letters,2013,17(9):1938-1841.
[5] CHATZIANTONIOU E,ALLEN B,VELISAVLJEVIC V.Thre-shold Optimization for Energy Detection-based Spectrum Sen-sing over Hyper-Rayleigh Fading Channels[J].IEEE Communication Letters,2015,9(6):1077-1080.
[6] LIANG Y C,ZENG Y H,PCH E C Y,et al.Sensing-Throughput Tradeoff for Cognitive Radio Networks[J].IEEE Transaction on Wireless Communications,2008,7(3):1-12.
[7] XING X S,JING T,LI H J,et al.Optimal Spectrum Sensing Interval in Cognitive Radio Networks[J].IEEE Transactions on Parallel and Distributed System,2014,25(9):2408-2417.
[8] LUO L,ROY S.Efficient spectrum sensing for cognitiveradio networks via joint optimization of sensing threshold and duration [J].IEEE Transactions Wireless Communications,2012,60(10):2851-2860.
[9] EI-SHERIF A A,MOHAMED A.Decentralized ThroughputMaximization in Cognitive Radio Wireless Mesh Networks[J].IEEE Transactions on Mobile Computing,2014,13(9):1967-1980 .
[10] GORSKI J,PFEUFFER F,KLAMROTH K.Biconvex sets and optimization with biconvex functions:asurvey and extensions[J].Mathematical Methods of Operations Research,2007,66(3):373-407.
[11] WENDELL R E,HUNTER A J.Minimization of non-separable objective function subject to disjoint constraints[J].Operations Research,1976,24(3):643-657.
[12] BOYD S,VANDENBERGHE L,FAYBUSOVICH.Convex OPTIMIZATION[J].IEEE Transactions on Automatic Control,2016,1(11):1859.

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