超密集网络中基于BCD的联合频谱资源优化方法

Joint spectrum resource optimization based on BCD in ultra-dense network

针对超密集网络(ultra dense network,UDN)中基站密集部署导致的严重层间干扰问题,构建了考虑频谱复用和共信道干扰条件下最大化系统总吞吐量问题模型,提出了一种基于块坐标下降(block coordinate descent,BCD)法的联合频谱资源优化(joint resource optimization based on BCD,JROBB)方法。该方法将原问题分解为分簇、子信道分配和功率分配三个子问题,通过BCD法迭代优化子信道分配和功率分配,逼近原问题的最优解。仿真分析表明,在复杂度提升有限的情况下,系统总吞吐量比现有典型算法平均至少提升22%,可以有效提升频谱利用率。

Aiming at the problem of serious inter-layer interference caused by dense deployment of base stations in ultra-dense networks(UDN),a model of maximizing the total system throughput considering spectrum reuse and cochannel interference is constructed,and a joint spectrum resource optimization method based on block coordinate descent(BCD)method(called JROBB)is proposed.The original problem is decomposed into three sub-problems:clustering,sub-channel allocation and power allocation.The sub-channel allocation and power allocation are iteratively optimized by the block coordinate descent method to approach the optimal solution of the original problem.Simulation results show that the system total throughput is improved by at least 22%on average compared with the existing typical algorithms,and the spectrum utilization can be effectively improved.