一种多天线多用户大规模MIMO上行系统能效资源分配算法

针对目前大规模MIMO系统的资源分配研究集中于用户终端配备单天线的场景,但随着技术的发展和用户需求的增长,用户智能终端配备多天线情形越来越多,提出一种基于多天线多用户大规模MIMO上行系统的能效资源分配算法。在满足用户速率和续航要求的条件,基站采用迫零(ZF)接收情况下,通过建立系统能效函数,采用凸优化方法进行优化。首先确定用户不同天线的最优发射功率,再运用二分法确定基站激活的天线数目,通过联合用户发射功率和激活基站天线数来优化系统能效。仿真结果表明本文所提算法可以在迭代次数较少的情况下取得较好的系统能效。

An Algorithm for Energy Efficiency Resource Allocation of Uplink Multi - antenna Multi - user Massive MIMO System

The Research of Resource Allocation for Massive MIMO systems currently focused on the user terminal equipped with a single antenna scenario, but with the development of technology and user needs, the user intelligent terminal with multiple antennas more and more, This paper proposes an energy efficient resource allocation algorithm based on multi-antenna multiuser Massive MIMO uplink system. Under the condition of satisfying the requirements of user rate and endurance, the base station adopts the convex optimization method to optimize the system by establishing the system energy efficiency function under the condition of zero forcing (ZF).First determine the optimal transmit power of the different antenna of the user, and then use the dichotomy to determine the number of antennas activated by the base station, and optimize the system energy efficiency by combining the user transmitting power and activating the base station antenna number. The simulation results show that the proposed algorithm can achieve better system efficiency in the case of fewer iterations.