摘要： 针对蜂窝与D2D混合网络中资源分配技术不具有自适应性、造成资源浪费的问题,提出一种根据实际网络环境自适应调整的资源分配方案,并设计两阶段的资源分配算法对该方案进行求解。第一阶段根据用户间的干扰自适应调整使用每个资源块的用户个数和D2D用户可使用的资源块个数,第二阶段利用改进的粒子群算法以吞吐量最大为目标分配功率。仿真结果表明,该算法的性能与穷举搜索最优算法最相近,且系统吞吐量和D2D用户的接入率都明显大于固定分配的算法。

关键词: D2D通信, 自适应, 资源分配, 资源复用, 粒子群优化

Abstract: As to the problem that the resource allocation technology is not adaptive in the hybrid network of cellular and Device-to-Device(D2D) which causes the waste of resources,a resource allocation scheme is proposed which can be adjusted adaptively according to the actual network environment,and a two-stage resource allocation algorithm is designed to solve it.Both the number of users using every resource block and the number of resource blocks that D2D users can use are adjusted adaptively according to the interference between users in the first stage,and the improved PSO algorithm is used to allocate power which maximizes the throughput in the second stage.The simulation results show that the proposed algorithm is near optimal algorithm.Besides,the throughput of the system and the access rate of D2D users are significantly superior to the fixed allocation algorithm.

Key words: Device-to-Device(D2D) communication, adaptive, resource allocation, resource reuse, Particle Swarm Optimization(PSO)

中图分类号: 

• TN92