多小区下行链路系统的资源效率最大化协同波束成形算法

本文研究了基于资源效率优化的多小区多用户协同波束成形算法设计。为了权衡系统频谱效率与能源效率，考虑在单基站发射功率约束以及达到用户服务质量需求条件下最大化系统资源效率，即系统能源效率与归一化系统频谱效率的加权和。由于优化变量之间的耦合性以及约束条件的非凸特性，该优化问题是一种非凸优化问题并且难以直接获得最优解。为了求解所考虑的优化问题，本文联合利用凸近似方法和分数规化理论，提出一种多小区下行链路系统中最大化资源效率的交替优化算法。所提算法的收敛性可以由凸近似方法和单调有界理论保证。同时，数值仿真验证了所提算法的有效性。 

A Coordinated Beamforming Algorithm of Resource Efficiency Maximization for the Multicell downlink System

In this paper, we investigate the design of the multicell multiuser coordinated beamforming algorithm for the optimization of the resource efficiency. In order to balance the spectral efficiency and the energy efficiency, we consider the design of algorithm that is used to solve optimization problem of the resource efficiency, a weighted sum optimization problem of the system energy efficiency and the normalized system sum rate subject to per-cell transmit power constraint and some given per-user quality of service. The optimization problem of interest is non-convex due to the coupling between the optimization variables and the non-convex constraints and therefore is difficult to solve. An alternative optimization solver is developed to address the resource efficiency optimization problem by using jointly the convex approximation method and the fractional theory. The convergence of the proposed algorithm is guaranteed with the convex approximation method and the monotonic boundary theory. At the same time, extensive numerical simulations validate the effectiveness of the proposed algorithm.