基于功率控制的大规模 MIMO 系统能效优化算法.

Energy efficiency optimization is a research hot spot in the field of S G 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. [ABSTRACT FROM AUTHOR]