Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network

5G毫米波回传与接入一体化网络中用户关联与资源分配联合优化方法

¹ School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
² College of Electronic Information Engineering, Lanzhou Institute of Technology, Lanzhou 730050, China

Received: 26 October 2018

Abstract

Since the millimeter wave integrated backhaul and access network(mm-Wave IBAN) can divide the resource ratio between the access and the backhaul link as needed, there is a huge advantage in the improvement of the utilization rate for 5G communication network. A joint optimization method of user association and resource allocation is proposed and implemented for the mm-Wave IBAN from the perspective of the maximization of the transmission traffic in the whole network. The joint optimization problem of the user association and the resource allocation is formulated as a combined non-convex optimization problem, and then the problem is decomposed into two sub-problems. The first sub-problem, which is aimed at the maximization of the whole access rate, is the problem of the user association under the condition of the match between the access rate and backhaul rate. The second sub-problem, which is aimed at the maximization of the whole traffic of the network, is the problem of the resources allocation between the access link and backhaul link. The artificial immune optimization algorithm (IOA) is used to solve the first sub-problem. After that, the optimal transmission resource ratio between the access link and backhaul link is obtained according to the differentiating of the expression for the whole traffic. The simulation results show that the proposed method has more gains in the improvement of the whole network traffic when compared with the user association mechanism based on the nearest distance.

摘要

由于毫米波回传与接入一体化网络 (mm-Wave IBAN) 能够按需划分接入和回传链路之间的资源比例而在提升5G通信网络资利用率方面有巨大优势。从最大化全网传输业务量的角度出发提出并实现一种mm-Wave IBAN用户关联和资源分配的联合优化方法。首先将mm-Wave IBAN中用户关联和资源分配的联合问题建模为一个组合非凸优化问题，然后将其分解为2个子问题，即在接入速率和回传速率匹配约束情况下以全网接入速率最大化为目标的用户关联子问题（即子问题1）和以传输业务最大化为目标的接入与回传时间资源比例分配的子问题（即子问题2）。利用人工免疫优化算法求解子问题1，再通过对全网业务量表达式求导而得各小区接入和回传链路上的最优传输时间比例。仿真结果表明：与基于最近距离用户关联机制相比，在提升网络吞吐量方面有更大增益。