5G微蜂窝网络中面向传输能效的分布式中继选择优化

Transmission Energy-Aware Distributed Relay Selection in 5G Small Cell Networks

提出了一种5G微蜂窝中面向业务传输能效的分布式中继选择优化方法。在满足用户自身传输需求的条件下以最小化传输能量消耗为目标,综合分析了用户业务传输需求、所处无线环境、中继服务节点的位置以及其他用户的决策情况,建立了业务传输知觉的中继选择分布式优化模型。构建了微蜂窝网络能效优化中继选择博弈模型,并证明了该博弈为精确势能博弈。本文设计了能效优化中继选择分布式优化决策算法,证明了算法的收敛性。仿真结果验证了所提博弈模型和学习算法的理论分析结论,表明了所提算法能以分布式决策的方式有效优化微蜂窝网络的中继选择结果,在满足用户传输需求的同时,减小了网络业务传输的能量消耗。

In this paper,a distributed relay selection optimization method is proposed for the optimization of service transmission energy in microcellular networks.Taking the transmission energy consumption as the optimization goal under the condition that the user meets his own transmission requirements.The user’s service transmission requirements,the wireless environment,the location of the relay service node,and other users’choice relays are comprehensively analyzed.The service transmission relay selection distributed optimization model is established.The optimization relay selection game model for energy efficiency of microcellular network is constructed.The game is proved to be an accurate potential energy game.An energy efficiency optimization relay selection distributed optimization decision-making algorithm is designed,and the convergence of the algorithm is proved.Experiment analysis verifies the theoretical analysis of the proposed game model and learning algorithm which show that the proposed algorithm can effectively optimize the relay selection results in a distributed decision-making manner and satisfy the user’s transmission needs.