异构网络中基于鸽群优化算法的D2D资源分配机制

Resource allocation for D2D based on pigeon-inspired optimization algorithm in heterogeneous networks

针对异构蜂窝网络中D2D (device-to-device)通信用户复用蜂窝用户上行信道产生的频谱资源分配优化问题,提出一种基于改进离散鸽群算法(PIO)的D2D通信资源分配机制.通过设置信干噪比(SINR)门限值保证用户的通信服务质量(QoS),使用基于改进地图-指南针算子和认知因子的离散鸽群算法(IMCBPIO)为D2D用户进行资源分配,并采用基于接收SINR的闭环功率控制算法动态调整用户的发送功率,以减少用户与基站以及用户与用户之间存在的干扰.仿真结果表明,所提出方案能够有效抑制异构网络中由于引入D2D用户后导致的干扰,降低通信用户的中断概率,大大提高频谱利用率和系统吞吐量.

In order to solve the problem of spectrum optimization caused by D2D(device-to-device) communication multiplexing uplink channel of heterogeneous cellular networks, this paper proposes a resource allocation scheme based on improved discrete pigeon-inspired optimization(PIO). In this mechanism, the user’s quality of service(Qo S) can be guaranteed by setting the signal-to-interference plus noise ratio(SINR) threshold. First, resources are allocated for D2 D users with the binary discrete pigeon-inspired optimization based on improved map-compass operators and cognitive factors(IMCBPIO). Then, adjusting the transmission power of the users with the closed-loop power control algorithm based on the receiving SINR to reduce the interference among users, base stations and users. The simulation results show that,the proposed scheme can effectively suppress interference caused by the introduction of D2 D users in the heterogeneous network, and reduce the outage probability of communication users, as well as improve the spectrum utilization and the system throughput.