摘要
研究无附加限制条件下MIMO中继网络联合源节点和中继节点预编码策略选择问题,将这个问题建模成一个潜博弈,其中所有的博弈参与者都具有相同的收益函数,且系统速率的变化与每个参与者的收益变化成正比;设计了一个迭代预编码策略选择算法,来获取博弈的纯策略纳什均衡,并且理论分析了所设计算法的复杂度;证明了最优的速率最大化预编码策略组合是所设计博弈的一个纯策略纳什均衡。仿真结果表明,文中所有设计的算法可以获得近似穷举法的速率性能,且具有健全性和极快的收敛速度。
The joint source and relay precoding strategy selection for MIMO（multiple-input multiple-output） relay networks is investigated from a game theoretic approach.The authors appropriately formulate this as a potential game in which the rate is the common utility and also the potential function.This game is shown to possess at least one pure strategy NE（Nash equilibrium）,and the optimal strategy profile which maximizes the rate constitutes a pure strategy NE.Then an iterative precoding strategy selection algorithm based on best response rule is designed to achieve the NE.The simulation results indicate that the designed algorithm can achieve optimal or near optimal rate performance with much lower complexity,as compared to the exhaustive search algorithm and the random selection algorithm.
出处
《通信技术》
2013年第8期19-23,共5页
Communications Technology
基金
江苏省基金重点专项(No.BK2011002)
国家973项目(No.2009CB3020402)
关键词
多输入多输出(MIMO)
中继信道
多模预编码策略选择
潜博弈
纳什均衡
MIMO（multiple-input multiple-output）
relay channel
multimode precoding strategy selection
potential game
NE（Nash equilibrium）
