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出 处:《郑州大学学报(工学版)》2015年第5期106-110,共5页Journal of Zhengzhou University(Engineering Science)
基 金:国家自然科学基金资助项目(61271421)
摘 要:针对多组多播的认知无线电网络,提出了一种基于组间协作的多播组配对信息传输机制.在满足干扰约束和峰值功率约束的情况下,通过分析瑞丽衰落环境下放大转发(AF)和译码转发(DF)协作单中继系统的性能,将系统总速率作为优化目标,研究了该传输机制下中继位置和主用户位置对于系统的最优功率分配和系统吞吐量的影响.仿真结果表明:中继位置和主用户的位置对于系统性能起着关键的作用,最优功率分配方案取得相对于等功率分配方案更优的性能,采用最优功率分配时,不管是AF还是DF,当中继位于基站和目的节点连线的中点且靠近认知用户时,系统性能最优.In this paper, a new transmission mechanism called multi-group multicast (MGMC) based on inter-group and inner-group cooperation is proposed for cognitive radio networks. The performance of a single-re- lay system and the overall rate optimization based on amplify-forward (AF) and decode-forward (DF) is analyzed with interference constraints to the primary user (PU) and peak power constraint at each user in the Rayleigh fading environment. This paper studies the impact of the relay node and the primary users (PU) location on power allocation and system throughout and compares to the optimal power allocation scheme and equal power allocation scheme. The result shows the locations of relay node and PU are crucial to performance and the proposal optimum power allocation (OPA) scheme significantly outperforms the equal power allocation (EPA). The best performances for both AF and DF are achieved when the relay is at an equal distance from the sender and the destination in EPA scheme or the relay is closer to the destination around in OPA scheme.
分 类 号:TN92[电子电信—通信与信息系统]
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