A novel weighed cooperative bandwidth spectrum sensing for spectrum occupancy of cognitive radio network

Abstract

In cognitive radio network (CRN), a secondary user (SU) may utilize the spectrum resource of the primary user (PU) and avoid causing harmful interference to the primary network (PN) via spectrum sensing. In the traditional time spectrum sensing, the SU cannot detect the PU’s presence during its transmission, thus increasing interference to the PN. In this work, a novel weighed cooperative bandwidth spectrum sensing method is proposed, which allows multiple SUs to use part of the bandwidth to perform cooperative spectrum sensing throughout the whole frame in order to detect the PU’s reappearance in time. The SU’s spectrum efficiency is maximized by jointly optimizing sensing bandwidth proportion, number of cooperative SUs and detection probability, subject to the constraints on the SU’s interference and the false alarm probability. Simulation results show significant decrease on the interference and improvement on the spectrum efficiency using the proposed weighed cooperative bandwidth spectrum sensing method.

Keywords

cognitive radio / spectrum sensing / spectrum efficiency / interference

References

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

[2] GhasemiA, SousaE S. Spectrum sensing in cognitive radio networks: Requirements, challenges and design trade-offs [J]. IEEE Communications Magazine, 2008, 46(4): 32-39

[3] MarianiA, GiorgettiA, ChianiM. Effects of noise power estimation on energy detection for cognitive radio applications [J]. IEEE Transactions on Communications, 2011, 59(12): 3410-3420

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

[5] HanW, LiJ, LiZ, ShiJ, ZhangY. Efficient soft decision fusion rule in cooperative spectrum sensing [J]. IEEE Transactions on Signal Processing, 2013, 61(8): 1931-1943

[6] LeeS, KimS L. Optimization of time-domain spectrum sensing for cognitive radio systems [J]. IEEE Transactions on Vehicular Technology, 2011, 60(4): 1937-1943

[7] MarinhoJ, MonteiroE. Cooperative sensing-before-transmit in Ad-hoc multi-hop cognitive radio scenarios [C]. International Conference on Wired Wireless Internet Communications. Santorini: Springer, 2012186-197

[8] LiuX, BiG-a, GuanY-l, LuW-d, YanJ-h, ZhongW-zhi. Joint optimisation algorithm of cooperative spectrum sensing with cooperative overhead and sub-band transmission power for wideband cognitive radio network [J]. Transactions on Emerging Telecommunications Technologies, 2015, 26(4): 586-597

[9] JamaliV, AhmadianM, SafaviS H, ArdebilipourM. Cooperative spectrum sensing in cognitive radio networks under primary outage constraint [C]. Iranian Conference on Electrical Engineering. Tehran: IEEE, 20121368-1372

[10] ZhaoQ, RenW, SwamiA. Spectrum opportunity detection: how good is listen-before-talk [C]. Asilomar Conference on Signals, Systems and Computers. Pacific Grove: IEEE, 2007767-771

[11] EdwardC Y P, LiangY-c, GuanY-liang. Optimization of cooperative sensing in cognitive radio networks: a sensing-throughput tradeoff view [J]. IEEE Transactions on Vehicular Technology, 2009, 58(9): 5294-5299

[12] YuH-g, TangW-b, LiS-qian. Optimization of cooperative spectrum sensing with sensing user selection in cognitive radio networks [J]. EURASIP Journal on Wireless Communications and Networking, 2011, 208: 1-8

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

[14] MalekiS, ChepuriS P, LeusG. Optimization of hard fusion based spectrum sensing for energy-constrained cognitive radio networks [J]. Physical Communication, 2013, 9(12): 193-198

[15] SungK W, KimS L, ZanderJ. Temporal spectrum sharing based on primary user activity prediction [J]. IEEE Transactions on Wireless Communications, 2010, 9(12): 3848-3855

[16] KimH, ShinK G. Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks [J]. IEEE Transactions on Mobile Computing, 2008, 7(5): 533-545

[17] LiuX, ZhongW-z, ChenK-qi. Optimization of sensing time and cooperative user allocation for or-rule cooperative spectrum sensing in cognitive radio network [J]. Journal of Central South University, 2015, 22(7): 2646-2654

[18] YuanF, ZhengL-h, YuanJ-b, WangZ-bin. Resource allocation for relay assisted cognitive radio network [J]. Journal of Central South University, 2013, 20(4): 969-976

[19] LiuX, JingQ-f, JiaY, ZhongW-z, GuanY-liang. Sensing-throughput tradeoff for cooperative multipleinput single-output cognitive radio [J]. International Journal of Communication Systems, 2015, 28(5): 848-860

[20] LiuX, JiaM, GuX-mai. Joint optimal sensing threshold and subcarrier power allocation in wideband cognitive radio for minimising interference to primary user [J]. China Communications, 2013, 10(11): 70-80

[21] LiuX, BiG-a, JiaM, GuanY-l, ZhongW-z, LinRui. Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection [J]. Radio Science, 2013, 48(4): 359-370

[22] UmebayashiK, LehtomakiJ J, YazawaT, SuzukiY. Efficient decision fusion for cooperative spectrum sensing based on OR-rule [J]. IEEE Transactions on Wireless Communications, 2012, 11(7): 2585-2595