Soft Combination for Cooperative Spectrum Sensing in Fading Channels
作者： Huayan Guo , Nima Reisi , Wei Jiang , Wu Luo
DOI: 10.1109/ACCESS.2016.2628860
关键词: Energy (signal processing) 、 Fading 、 Algorithm 、 Telecommunications 、 Cognitive radio 、 Nakagami distribution 、 Communication channel 、 Signal-to-noise ratio 、 Detector 、 Computer science
摘要: In this paper, we study the distributed energy-based detectors for spectrum sensing in cognitive radio networks. We assume that channel includes both small-scale and large-scale fading. The fading is modeled as Nakagami- $m$ independent different cooperating users, while assumed to be known (or can estimated) by due their slowly changing nature. Furthermore, gains are constant one observation interval vary independently intervals. Based on Bayesian rule, derive optimal energy combining i.e., average likelihood ratio (ALR) detector. also suggest two solutions: 1) mixture of gamma (MoG)-based ALR detector 2) generalized Gauss–Laguerre formula (GLF)-based detector, overcome problem intractable integrals propose novel suboptimal but practical rules: GLF-based linear which implemented functions a comparator with negligible performance degradation weighted-energy applicable low SNR regime. simulation results reveal MoG GLF detectors, almost precisely lower complexity. Moreover, all proposed outperform conventional ones, especially when differ users.
sci-hub.se 参考文章(66)
Andrea Goldsmith, Wireless Communications: List of Abbreviations ,(2005) , 10.1017/CBO9780511841224
Huayan Guo, Wei Jiang, Wu Luo, A Modified Energy Detector for Random Signals in Gaussian Noise IEEE Communications Letters. ,vol. 19, pp. 1358- 1361 ,(2015) , 10.1109/LCOMM.2015.2445873
Ala Abu Alkheir, Hussein T. Mouftah, An Improved Energy Detector Using Outdated Channel State Information IEEE Communications Letters. ,vol. 19, pp. 1237- 1240 ,(2015) , 10.1109/LCOMM.2015.2430330
Anlei Rao, Mohamed-Slim Alouini, Performance of Cooperative Spectrum Sensing over Non-Identical Fading Environments IEEE Transactions on Communications. ,vol. 59, pp. 3249- 3253 ,(2011) , 10.1109/TCOMM.2011.082911.100222
R. Tandra, A. Sahai, S.M. Mishra, What is a Spectrum Hole and What Does it Take to Recognize One Proceedings of the IEEE. ,vol. 97, pp. 824- 848 ,(2009) , 10.1109/JPROC.2009.2015710
Edward C. Y. Peh, Ying-Chang Liang, Yong Liang Guan, Yonghong Zeng, Cooperative Spectrum Sensing in Cognitive Radio Networks with Weighted Decision Fusion Schemes IEEE Transactions on Wireless Communications. ,vol. 9, pp. 3838- 3847 ,(2010) , 10.1109/TWC.2010.092810.100320
Mahdi Ben Ghorbel, Haewoon Nam, Mohamed-Slim Alouini, Soft Cooperative Spectrum Sensing Performance Under Imperfect and Non Identical Reporting Channels IEEE Communications Letters. ,vol. 19, pp. 227- 230 ,(2015) , 10.1109/LCOMM.2014.2377231
Xinzhi Zhang, Rong Chai, Feifei Gao, Matched filter based spectrum sensing and power level detection for cognitive radio network ieee global conference on signal and information processing. pp. 1267- 1270 ,(2014) , 10.1109/GLOBALSIP.2014.7032326
Yi Chen, David Y. Gao, Global solutions to nonconvex optimization of 4th-order polynomial and log-sum-exp functions Journal of Global Optimization. ,vol. 64, pp. 417- 431 ,(2016) , 10.1007/S10898-014-0244-5
José L. López, Pedro J. Pagola, The confluent hypergeometric functions M(a,b;z) and U(a,b;z) for large b and z Journal of Computational and Applied Mathematics. ,vol. 233, pp. 1570- 1576 ,(2010) , 10.1016/J.CAM.2009.02.072