超密集异构网络中基于用户关联和频谱分割的无线回传方案

Wireless Backhaul Scheme Based on Joint User Association and Spectrum Allocation in Ultra-Dense Heterogeneous Networks

超密集异构网络能够有效满足5G业务需求,但无线回传仍存在着一些问题需要解决。考虑回传链路容量有限的情况,研究多用户场景下的双层超密集异构网络的用户关联和频谱分割的联合优化问题。首先,在基站端设计预编码器来进行干扰控制。然后,以最大遍历可达速率为关联准则对问题进行建模,提出了联合用户关联和频谱分割的优化算法,求解并给出了最佳用户关联向量和最佳频谱分割系数。仿真结果表明所提算法能有效提升超密集异构网络的网络性能。

Ultra-dense heterogeneous networks can effectively achieve the 5G business need,but there are still some problems needed to be solved in wireless backhaul.This paper studies the joint optimization of user association and spectrum allocation in a two-tier ultra-dense heterogeneous network in a multi-user scenario under limited backhaul link capacity.First,the precoders on the base stations are designed for interference control.Then,using the maximum ergodic achievable rate as the association criterion,this paper proposes the joint user association and spectrum allocation optimization algorithm,and gives the best user association vector and the best spectrum allocation indicator by solving the problem.The simulation result shows that the proposed algorithm can effectively improve the network performance of ultra-dense heterogeneous networks.