Optimization of sensing time and cooperative user allocation for OR-rule cooperative spectrum sensing in cognitive radio network

Abstract

In order to improve the throughput of cognitive radio (CR), optimization of sensing time and cooperative user allocation for OR-rule cooperative spectrum sensing was investigated in a CR network that includes multiple users and one fusion center. The frame structure of cooperative spectrum sensing was divided into multiple transmission time slots and one sensing time slot consisting of local energy detection and cooperative overhead. An optimization problem was formulated to maximize the throughput of CR network, subject to the constraints of both false alarm probability and detection probability. A joint optimization algorithm of sensing time and number of users was proposed to solve this optimization problem with low time complexity. An allocation algorithm of cooperative users was proposed to preferentially allocate the users to the channels with high utilization probability. The simulation results show that the significant improvement on the throughput can be achieved through the proposed joint optimization and allocation algorithms.

Keywords

cognitive radio / energy detection / cooperative spectrum sensing / throughput / optimization

References

[1] MitolaJ, MaguireG Q. Cognitive radio: Making software radios more personal [J]. IEEE Personal Communication, 1999, 6(4): 13-18

[2] HaykinS. Cognitive radio: Brain-empowered wireless communications [J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220

[3] MchenryM, LivsicsE, NguyenT, MajumdarN. BXG dynamic spectrum access field test results [J]. IEEE Communication Magazine, 2007, 45(6): 51-57

[4] KrenikW, BatraA. Cognitive radio techniques for wide area networks [C]. Design Automation Conference, 2005California, USAIEEE409-412

[5] ShenB, HuangL-y, ZhaoC-s, ZhengZ, KwakK. Energy detection based spectrum sensing for cognitive radios in noise of uncertain power [C]. International Symposium on Communications and Information Technologies, 2008VientianeIEEE628-633

[6] DuanJ-q, LiYong. Performance analysis of cooperative spectrum sensing in different fading channels [C]. International Conference on Computer Engineering and Technology, 2010ChengduIEEE364-368

[7] WangY, FengC-y, ZengZ-m, GuoC-li. A robust and energy efficient cooperative spectrum sensing scheme in cognitive radio networks [C]. International Conference on Advanced Communication Technology, 2009Phoenix ParkIEEE640-645

[8] LiangY-c, ZengY-h, PehE C Y, HoangA T. Sensing-throughput tradeoff for cognitive radio networks [J]. IEEE Transactions on Wireless Communications, 2008, 7(4): 1326-1337

[9] StotasS, NallanathanA. Overcoming the sensing-throughput tradeoff in cognitive radio networks [C]. IEEE International Conference on Communications, 2010Cape TownIEEE1-5

[10] PehE C Y, LiangY C, GuanY L. Optimization of cooperative sensing in cognitive radio networks: A sensing-throughput tradeoff view [C]. IEEE International Conference on Communications, 2009DresdenIEEE1-5

[11] FanR-f, JiangHai. Optimal multi-channel cooperative sensing in cognitive radio networks [J]. IEEE Transactions on Wireless Communications, 2010, 9(3): 1128-1138

[12] QuanZ, CuiS-g, SayedA H, PoorH V. Optimal multiband joint detection for spectrum sensing in cognitive radio networks [J]. IEEE Transactions on Signal Processing, 2009, 57(3): 1128-1140

[13] HanZ, JiangHai. Replacement of spectrum sensing and avoidance of hidden terminal for cognitive radio [C]. IEEE Wireless Communications and Networking Conference, 2008Las VegasIEEE1448-1452

[14] LiuX, TanX-zhi. Optimization for weighed cooperative spectrum sensing in cognitive radio network [J]. Applied Computational Electromagnetics Society Journal, 2011, 26(10): 800-814

[15] UmebayashiK, LehtomakiJ J, SuzukiY. Study on efficient decision fusion in OR-rule based cooperative spectrum sensing [C]. IEEE Wireless Communications and Networking Conference, 2012ParisIEEE714-718

[16] LiuX, TanX-zhi. Optimization algorithm of periodical cooperative spectrum sensing in cognitive radio [J]. International Journal of Communication Systems, 2014, 27(5): 705-720

[17] BoydS P, VandenbergheLConvex optimization [M], 2004CambridgeCambridge University Press300-720

[18] LiuX, ZhongW-z, YeL, LiQ-zhong. Joint optimal sensing time and number of cooperative users in OR-rule cooperative spectrum sensing [C]. International Conference on Wireless Communications & Signal Processing, 2014Hangzhou, ChinaIEEE1-5