基于议价博弈论的无线协作中继网络性能改进算法

针对自私性无线协作中继(CR)网络中的放大再中继(AF)和解码再中继(DF)协议，分别给出 公平且有效率的协作中继功率分配方案。两种方案虽然具体研究内容有差别，但有着共同 的研究策略。首先，将节点间的协作功率选择问题建模为纳什议价博弈问题(NBP)；然后， 通过求取其纳什议价解(NBS)获得协作节点的共赢策略；最后，针对AF和DF协议分别给出计 算机仿真。仿真结果表明，所提出协作中继性能改进算法的效率性体现在所有协作节点在AF 和DF协议中均获得信号接收质量的提高，其公平性则体现在任意节点为其协作伙伴所贡献的 转发功率大小仅取决于对方为其带来的性能增益大小。

Performance improvement algorithms based on bargaining game theory for wireless cooperative relay networks

For amplify-and-forward(AF) and decode-and-forward(DF) protocol in selfish coo perative network s, fair and efficient power allocation schemes are proposed respectively. The tw o schemes adopt the same research methodology as following. First,t his cooperative power allocation problem is formulated as a two-user cooperative game. Then Nash bargaining solution(NBS) is used to achieve a win-win strateg y for both partn er users. Finally, the computer simulation is presented. For both AF and DF prot ocols, simulation results indicate that the NBS is fair in that the degree of co operation of a user only depends on how much contribution its partner can make t o decrease its symbol error rate(SER) at the receiver, and efficient in that the SER performance of both users can be improved through the game.