基于功率控制的大规模MIMO系统能效优化算法

能效优化是5 G通信领域的一个研究热点.首先针对单小区多用户上行大规模MIMO通信系统,在满足用户QoS需求和系统可容忍的信道有效噪声条件下,建立关于发射功率、导频序列长度、基站天线数的能效优化模型;其次,不同于传统利用迭代算法求解使系统能效最佳的基站天线数,提出了采用Lambert W函数分析得到最佳基站天线数的闭式表达式;最后根据分式规划理论,采用迭代优化算法联合优化系统导频序列长度、发射功率、基站天线数.仿真结果表明,该算法较现有算法能效提高了11.2％,说明该算法能有效提高系统性能.

Joint power control optimization algorithm on energy efficiency in massive MIMO systems

Energy efficiency optimization is a research hot spot in the field of 5G communications. First, this paper established an energy efficiency optimization model with regard to transmit power, pilot sequence length, and number of base station(BS) antennas under user QoS requirements and the system''s tolerable channel effective noise in a single-cell multi-user uplink massive MIMO system. Then, different from the traditional iterative algorithm for solving the optimal number of BS antennas, the method used a closed-form expression to solve the optimal number of BS antennas using Lambert W function. Finally, according to the fractional programming, this paper proposed an iterative optimization algorithm to jointly optimize the system pilot sequence length, transmit power, and number of BS antennas. The simulation results show that the energy efficiency of the algorithm is 11.2% higher than that of the existing algorithm, indicating that the algorithm can effectively improve the system performance.