考虑恶意节点的CRN合作频谱感知方法

doi:10.11959/j.issn.1000-436x.2015119

摘要/Abstract

摘要：

基于带有恶意节点的更为实际的频谱感知环境，研究了基于合作感知的频谱共享网络模型，次级用户将会根据合作感知结果动态地调整其发射功率。为了防止恶意节点对感知系统的感知性能造成严重影响，研究了如何进行合作感知以提高感知性能。在一定的检测概率和相关功率约束下，建立了一个以最大化次级网络的吞吐量为目标函数的优化问题。仿真实验首先突出说明了恶意节点数目对频谱感知影响重大，同时还表明无论是否存在恶意节点，提出的算法均可有效地计算出最优的感知时间和发射功率，且在降低最大干扰功率限制和最大发射功率限制时，网络的吞吐量是增大的。

关键词: 认知无线电, 恶意节点, 合作感知, 频谱共享, 功率分配, 凸优化

Abstract:

Based on a more practical cognitive radio network with malicious users,the spectrum sharing network model based on the cooperative spectrum sensing was studied that the secondary user can dynamically adjust its transmit power based on cooperative sensing results.To avoid significant reduction in performance of spectrum sensing system caused by malicious nodes,it is aimed to study how to improve the performance of cooperative sensing.By introducing the convex optimization problem,the secondary network throughput is maximized under the certain detection probability conditions and the corresponding power constraints.Simulation results show that whether or not there are malicious nodes,the algorithm is efficient in calculating optimal sensing time and the optimal transmit powers,and the secondary network throughput is increased when the maximum interference power limits and the maximum transmit power restrictions are decreased.

Key words: cognitive radio, malicious node, cooperation sensing, spectrum sharing, power allocation, convex optimization

齐小刚,郑圣瑜,刘立芳,王慧芳. 考虑恶意节点的CRN合作频谱感知方法[J]. 通信学报, 2015, 36(6): 22-30.

Xiao-gang QI,Sheng-yu ZHENG,Li-fang LIU,Hui-fang WANG. Cooperative sensing method considering malicious nodes in cognitive radio networks[J]. Journal on Communications, 2015, 36(6): 22-30.

图/表 9

图1

图2

图3

表1

图4

图5

图6

图7

图8

参考文献 18

[1]	III J M . An Integrated Agent Architecture for Software Defined Radio[D]. Sweden:Royal Institute of Technology, 2000.
[2]	HAYKIN S . Cognitive radio:brain-empowed wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005,23(2): 201-220.
[3]	AKYILDIZ I F , LEE W Y , VURAN M C ,et al. Next generation/dynamic spectrum access/cognitive radio wireless networks:a survey[J]. Computer Networks, 2006,50(13): 2127-2159.
[4]	MUSAVIAN L , AISSA S . Ergodic and outage capacities of spectrumsharing systems in fading channels[A]. Global Telecommunications Conference,GLOBECOM'07[C]. 2007. 3327-3331.
[5]	SONG M , XIN C , ZHAO Y ,et al. Dynamic spectrum access:from cognitive radio to network radio[J]. IEEE Wireless Communications, 2012,19(1): 23-29.
[6]	KANG X , LIANG Y C , GARG H K ,et al. Sensing-based spectrum sharing in cognitive radio networks[J]. IEEE Transactions on Vehicular Technology, 2009,58(8): 4649-4654.
[7]	LIANG Y C , ZENG Y , PEH E C Y ,et al. Sensing-throughput tradeoff for cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2008,7(4): 1326-1337.
[8]	PEH E C Y , LIANG Y C , GUAN Y L ,et al. Optimization of cooperative sensing in cognitive radio networks:a sensing-throughput tradeoff view[J]. IEEE Transactions on Vehicular Technology, 2009,58(9): 5294-5299.
[9]	YU H , TANG W , LI S . Optimization of cooperative spectrum sensing with sensing user selection in cognitive radio networks[J]. EURASIP Journal on Wireless Communications and Networking, 2011,2011(1): 1-8.
[10]	TEHRANI M N , UYSAL M . Sensing-throughput tradeoff in cooperative spectrum sensing[A]. Globecom Workshops[C]. 2012. 174-179.
[11]	PEH E C Y , LIANG Y C , GUAN Y L ,et al. Power control in cognitive radios under cooperative and non-cooperative spectrum sensing[J]. IEEE Transactions on Wireless Communications. 2011.10(12): 4238-4248.
[12]	KANG X , LIANG Y C , NALLANATHAN A . Optimal power allocation for fading channels in cognitive radio networks under transmit and interference power constraints[A]. Communications,ICC'08,IEEE International Conference[C]. 2008. 3568-3572.
[13]	STOTAS S , NALLANATHAN A . Optimal sensing time and power allocation in multiband cognitive radio networks[J]. IEEE Transactions on Communications, 2011,59(1): 226-235.
[14]	WANG W , LI H , SUN Y ,et al. Securing collaborative spectrum sensing against untrustworthy secondary users in cognitive radio networks[J]. EURASIP Journal on Advances in Signal Processing, 2010,2010:4
[15]	KANG X , LIANG Y C , NALLANATHAN A ,et al. Optimal power allocation for fading channels in cognitive radio networks:ergodic capacity and outage capacity[J]. IEEE Transactions on Wireless Communications, 2009,8(2): 940-950.
[16]	ZHANG L , LIANG Y C , XIN Y . Joint beamforming and power allocation for multiple access channels in cognitive radio networks[J]. IEEE Journal on Selected Areas in Communications, 2008,26(1): 38-51.
[17]	ZHANG R . Optimal power control over fading cognitive radio channel by exploiting primary user CSI[A]. Global Telecommunications Conference,IEEE GLOBECOM 2008[C]. 2008. 1-5.
[18]	BEN-TAL A,NEMIROVSKI? A S . Lectures on Modern Convex Optimization:Analysis,Algorithms,and Engineering Applications[M]. Siam, 2001.

PU状态	最终决策	对应情况的发生概率	功率	速率
闲	H₀	（1P_f)P(H0 )	P₀	r ₀₀
闲	H₁	P_f P(H0 )	P₁	r ₀₁
忙	H₀	（1-P_d)P(H ₁)	P₀	r ₁₀
忙	H₁	P_d P(H1 )	P₁	r ₁₁