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Optimal Set of Multiple Relays and Distributed Self-Selection in Cooperative Networks
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作者 Xiaohua Li chengyu xiong Jeong Kyun Lee 《Communications and Network》 2013年第2期140-147,共8页
In this paper we derive analytically the optimal set of relays for the maximal destination signal-to-noise ratio (SNR) in a two-hop amplify-and-forward cooperative network with frequency-selective fading channels. Sim... In this paper we derive analytically the optimal set of relays for the maximal destination signal-to-noise ratio (SNR) in a two-hop amplify-and-forward cooperative network with frequency-selective fading channels. Simple rules are derived to determine the optimal relays from all available candidates. Our results show that a node either participates in relaying with full power or does not participate in relaying at all, and that a node is a valid relay if and only if its SNR is higher than the optimal destination SNR. In addition, we develop a simple distributed algorithm for each node to determine whether participating in relaying by comparing its own SNR with the broadcasted destination SNR. This algorithm has extremely low overhead, and is shown to converge to the optimal solution fast and exactly within a finite number of iterations. The extremely high efficiency makes it especially suitable to time-varying mobile networks. 展开更多
关键词 Cooperative Transmission Amplify and FORWARD RELAYING Signal to Noise Ratio DISTRIBUTED Algorithm Linear-Fractional PROGRAMMING
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Markov Model Based Jamming and Anti-Jamming Performance Analysis for Cognitive Radio Networks
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作者 Wednel Cadeau Xiaohua Li chengyu xiong 《Communications and Network》 2014年第2期76-85,共10页
In this paper, we conduct a cross-layer analysis of both the jamming capability of the cognitiveradio-based jammers and the anti-jamming capability of the cognitive radio networks (CRN). We use a Markov chain to model... In this paper, we conduct a cross-layer analysis of both the jamming capability of the cognitiveradio-based jammers and the anti-jamming capability of the cognitive radio networks (CRN). We use a Markov chain to model the CRN operations in spectrum sensing, channel access and channel switching under jamming. With various jamming models, the jamming probabilities and the throughputs of the CRN are obtained in closed-form expressions. Furthermore, the models and expressions are simplified to determine the minimum and the maximum CRN throughput expressions under jamming, and to optimize important anti-jamming parameters. The results are helpful for the optimal anti-jamming CRN design. The model and the analysis results are verified by simulations. 展开更多
关键词 COGNITIVE RADIO Dynamic Spectrum Access Jamming MARKOV Model THROUGHPUT
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