Computer Science ›› 2018, Vol. 45 ›› Issue (9): 156-160.doi: 10.11896/j.issn.1002-137X.2018.09.025

• Network & Communication • Previous Articles     Next Articles

Multi-channel Power Control Mechanism Based on Hidden Markov in Cognitive Network

ZHU Jiang, MA Xiao, YIN Yao-hu   

  1. Chongqing Key Lab of Mobile Communications Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Received:2017-07-05 Online:2018-09-20 Published:2018-10-10

Abstract: In the distributed multi-channel access cognitive radio network,to deal with the resource allocationconflict issue caused by asgmmetric environmental information of users,according to the correlations of channel detected results of unlicensed users,a multi-channel game-theoretic power control mechanism based on Hidden Markov model was proposed.The mechanism selectes reasonable price function to effectively suppress the selfish behavior of unauthorized users,and realizes the spectrum sharing between unlicensed users and makes them estimate whether other users on the channel would take part in the game,thus obtaining more accurate information about the game and choosing a better transmission power.The simulation results show that the system can achieve higher efficient capacity and ensure that more users meet the speed requirements.

Key words: Hidden Markov, Imperfect information, Multi-channel access, Power allocation

CLC Number: 

  • TN929
[1]XU D,LI Q.Effective capacity region and power allocation for two-way spectrum sharing cognitive radio networks[J].Sciece China Information Sciences,2015,58(6):62309-062309.
[2]WANG F,KRUNZ M,CUI S.Spectrum Sharing in Cognitive Radio Networks[C]∥The Conference on Computer Communications(INFOCOM 2008).IEEE,2008:1885-1893.
[3]ZOU C,JIN T,CHIGAN C,et al.QoS-aware distributed spectrum sharing for heterogeneous wireless cognitive networks[J].Computer Networks the International Journal of Computer & Telecommunications Networking,2008,52(4):864-878.
[4]ZHAO J,WEI F,MING Z,et al.Coordinated Multi-User Spectrum Sharing in Distributed Antenna-Based Cognitive Radio Systems[J].China Communications,2016,13(1):57-67.
[5]LU W,ZHU Y,PENG H,et al.Primary and secondary QoS-guaranteed cooperative spectrum sharing with optimal power allocation[C]∥International Wireless Communications and Mobile Computing Conference.2016:909-914.
[6]PARADIGM I U.Dynamical Spectrum Sharing and Medium Access Control for Heterogeneous Cognitive Radio Networks[J].International Journal of Distributed Sensor Networks,2016,2016:1-15.
[7]WANG R,JI H,XI L I.A distributed power allocation scheme in green cognitive radio ad hoc networks[J].Journal of Shanghai Jiaotong University(Science),2015,20(2):195-201.
[8]SRIVASTAVA V,NEEL J,Mackenziea A B,et al.Using game theory to analyze wireless ad hoc networks[J].IEEE Communications Surveys & Tutorials,2008,7(4):46-56.
[9]RABINER L R.A tutorial on hidden Markov models and selec-ted applications in speech recognition[J].Readings in Speech Recognition,1990,77(2):267-296.
[10]KIM K J,KWAK K S,CHOI B D.Performance analysis of opportunistic spectrum access protocol for multi-channel cognitive radio networks[J].Journal of Communications & Networks,2013,15(1):77-86.
[11]HE H,LI S Q.Multi-channel sensing-transmission scheme of
mazimizing throughput in cognitive radio system[J].Modern Electronics Techniques,2013,36(19):40-45.(in Chinese)
何浩,李少谦.认知无线电系统中最大化吞吐量的多信道检测-传输方案[J].现代电子技术,2013,26(19):40-45.
[12]CHUNG S T,Kim S J,LEE J,et al.A game-theoretic approach to power allocation in frequency-selective gaussian interference channels[C]∥IEEE International Symposium on Information Theory,2003.IEEE,2003:316-316.
[13]Chai R,ZHOU L,ZHAO N,et al.Game theory based Joint pricing and resource allocation for cognitive radio networks with imperfect channel information[C]∥International Conference on Communications and Networking in China.IEEE,2014:558-563.
[14]WANG F,KRUNZ M,CUI S.Price-Based Spectrum Manage-ment in Cognitive Radio Networks[J].IEEE Journal of Selected Topics in Signal Processing,2008,2(1):74-87.
[15]ADIAN M G,AGHAEINIA H,NOROUZI Y.Spectrum sharing and power allocation in multi-input-multi-output multi-band underlay cognitive radio networks[J].IET Communications,2013,7(11):1140-1150.
[16]CAI X,GIANNAKIS G B.A two-dimensional channel simula-tion model for shadowing processes[J].Vehicular Technology IEEE Transactions on,2003,52(6):1558-1567.
[17]LIU M,SONG T,ZHANG L,et al.Subchannel and power allocation for OFDMA-based mobile cognitive radio networks[C]∥International Conference on Wireless Communications & Signal Processing.IEEE,2016:1-6.
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