Distributed Wireless Resource Management Algorithm Based on Multi-base Station Game Equilibrium in Ultra-dense Network
Mobile edge computing and ultra-dense network technologies have obvious advantages in improving the computing power of mobile devices and enhancing network capacity.However,under the scenario of convergence between the two,how to effectively reduce the co-channel interference among base stations and reduce the delay and energy consumption of task transmission is an important research topic.Therefore,this study designs a distributed wireless resource management algorithm based on multi-base station game equilibrium.The wireless resource management problem among small base stations is transformed into a game one to propose a reward-driven strategy selection algorithm.The base stations continuously update the selection probability of their strategies by iterations,which finally optimizes the sub-channel allocation and transmission power regulation.Simulation results show that the proposed algorithm has advantages in improving channel utilization and reducing latency and energy consumption for task transmission.
ultra-dense networksub-channel allocationtransmission power regulationgame theoryreward driven
NETL
NSTL
万方数据
