关键词: 通信技术, 能量收集, 功率控制, 天线选择, 李雅普诺夫框架

Abstract:

Aiming at the rate maximization in the MISO system with energy harvesting,we propose an online joint power control and antenna selection strategy based on the Lyapunov optimization framework.The source node is a multi-antenna node powered by an energy harvesting device.The power consumption of the radio frequency (RF) circuit for each antenna is not negligible.The more antennas are activated,the larger the gain of the antenna array,but the larger the power consumption of the RF circuit,so it is necessary to balance between the gain and the power consumption.The source node should choose the appropriate transmit antenna and transmit power according to the available energy and the channel state.Since the energy arrival and the channel fading are stochastic processes,the rate maximization problem is a stochastic optimization problem.The energy virtual queue is constructed from the power level of the rechargeable battery,the negative value of the rate is modeled as the penalty term,and then the optimization problem of power control and antenna selection is transformed into the minimization of the instantaneous queue drift-plus-penalty function by using the Lyapunov optimization framework.During each time slot,the corresponding transmit power is optimized for each active antenna number that the power stored in the battery can support,and then the number of active antennas and the transmission power with the minimum drift-plus-penalty are selected as the optimal solution.Simulation results show that compared with the three comparison algorithms,the proposed algorithm can achieve a significantly higher transmission rate.The proposed algorithm only makes decisions based on the current channel state and battery power state,and has a very low computational complexity.

Key words: communication technology, energy harvesting, power control, antenna selection, Lyapunov framework