考虑竞争的纳什均衡协作通信传输策略

Nash equilibrium cooperative transmission strategy considering competition

在协作通信中,业务流通过空闲中继节点进行数据包的转发,可以有效地提高传输速率,提升无线网络的性能.因此,大量的中继节点选取算法相继被提出.然而,现有的研究算法大部分只从中继节点带来的有利因素(例如数据包传输速率提升)出发,而忽略了业务流在同一中继节点的相互竞争,从而导致直传传输中不存在的等待回退时延,对系统性能产生了负面影响.为此,笔者考虑中继节点带来的有利因素和负面影响,引入博弈论提出了一种基于纳什均衡的协作通信传输策略(Nash Equilibrium Cooperative Transmission Strategy,NECTS).该传输策略能在保证各个业务流收益的同时最大化系统性能,进而有效提升系统吞吐量.仿真实验表明,NECTS能在利用协作通信优势的同时,避免不必要的竞争.因此,其性能优于现有方法的性能.

In cooperative communications, employing the idle relay node for forwarding data can effectively improve the transmission rate and performance of the wireless networks. Therefore, various relay node selection algorithms are proposed. However, most of the existing algorithms just focus on the benefit caused by relay nodes, while ignoring the negative effect of the backoff duration time which does not exist in direct transmission, when more than one flow compete for the same relay node. To this end, considering both advantage and adverse impact caused by the relay node, we adopt the game-theoretic approach and propose a cooperative transmission strategy based on the Nash equilibrium, named the Nash Equilibrium Cooperative Transmission Strategy （NECTS）. The NECTS can not only guarantee the gain of each flow, but also maximize the system performance, and improve the system throughput effectively. Simulation results show that the NECTS can take the advantage of cooperative communications. Meanwhile, it can avoid the unnecessary competition, and its performance outperforms that of the existing methods.