多用户大规模MIMO系统能效资源分配算法

Energy-efficient Resource Allocation Based on Multi-user Massive MIMO System

该文针对多用户大规模多输入多输出(MIMO)移动通信上行系统,提出一种基于能效优化的资源分配算法。所提方法在采用最大比合并(MRC)接收情况下,满足用户数据速率和可容忍的干扰水平约束条件下,以最大化系统能效下界为准则建立优化模型。根据分数规划的性质,把原始的分数最优化问题转换成减式的形式,进而采用凸优化的方法,通过联合调整基站端的发射天线数和用户的发射功率来优化能效函数。仿真结果表明,所提算法与穷举算法在能效上的差距不足9%,并且有较好的系统频谱效率性能,同时算法复杂度得到了显著降低。

An energy-efficient resource allocation scheme is proposed for multi-user massive MIMO mobile communication uplink system. A mathematical formulation of optimization issue is provided with the objective of maximizing system energy efficiency lower bound under the data rate of user and tolerable interference level constraint, meanwhile the Base Station（BS） uses a Maximum-Ratio Combining（MRC） receiver. By transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming, then convex optimization is adopted to maximize the energy efficiency. Specifically, both the numbers of antenna arrays at the BS and the transmit data rate at the user are adjusted. Simulation results show that the energy-efficiency difference between the proposed algorithm and the exhaustive algorithm is less than 9%, at the same time, the performance of spectral-efficiency of the proposed algorithm is very well and the complexity is significantly reduced.