基于能量采集的大规模MIMO系统能效优化.

This paper investigated an energy-efficient optimization of massive MIMO systems with energy harvesting. It jointly optimized the power beacon’s transmit power and energy harvesting time to maximize the energy efficiency of the uplink massive MIMO systems under the quality of service (QoS), the power beacon’s transmit power and energy harvesting time constraints. Because the problem was the non-convex optimization problem, it first transformed to the equivalent optimization problem by fractional programming theory. Then, it proposed an energy-efficient power and time allocation algorithm (EPTA) based on the block coordinate descent (BCD) method to find the power of the power beacon, energy harvesting time and energy efficiency of the system iteratively. Compared with time averaged minimum QoS guaranteed algorithm (TA-QoSA) and throughput maximization based power and time algorithm (TPTA), the simulation results show that the proposed algorithm improves the energy efficiency of the system under the guarantee of user’s QoS. [ABSTRACT FROM AUTHOR]