Energy Efficiency Optimization Algorithm for Single Station Multi-satellite MIMO Uplink System

With the rapid growth of satellite communication services, the energy consumption of communication equipment has also increased sharply, which means that the transmission rate and energy efficiency of satellite communication systems need to be improved urgently. The traditional multi-station single-satellite uplink method requires the construction of a large number of measurement and control stations in the low-orbit satellite group, which can no longer meet the existing satellite transmission needs. The single-site multi-satellite method combined with Multi-input Multi-output (MIMO) technology for signal uplink has become the main development trend in the future. Aiming at the energy allocation problem of different satellites in the single-station multi-satellite uplink system, this paper proposes a single station multi-satellite energy efficiency optimization algorithm (SM-EEOA). Under the constraints of the quality of service (QoS) and overall transmit power of each satellite, an iterative algorithm is used to find the optimal power. The algorithm realizes fast and flexible power allocation according to actual transmission requirements and satellite channel quality, and achieves the optimization of system transmission rate. In the Saleh-Valenzuela channel, compare with the average power allocation strategy and the traditional power allocation algorithm. The simulation results show that the SM-EEOA algorithm can perform reasonable power allocation according to the satellite channel quality. Compared with the traditional power allocation algorithm, it can improve the system energy efficiency by about 60% without reducing the system capacity.