Power Allocation in Satellite-Terrestrial NOMA Network Based on Energy Efficiency

In order to improve the energy efficiency and service fairness of satellite-terrestrial networks, and reducing the intra-system interference, this paper proposes an energy-efficiency power allocation algorithm for satellite-terrestrial non-orthogonal multiple access networks. Firstly, we design a strategy for satellite users selection and terrestrial users grouping based on the principle of maximizing system energy efficiency. Secondly, we establish a satellite and terrestrial power alloca⁃ tion optimization model under the constraints of the intra-system interference, maximum emission power, and users service quality. Then, the non-convex problem based on energy efficiency is converted into the convex optimization problem by the successive convex approximation and Dinkelbach method. The analytical solutions are obtained by the Lagrangian dual and subgradient iteration approach. The results show that the energy efficiency of the proposed pairing strategy improves by about 13.4% relative to the greedy algorithm strategy and improves by about 8.2% relative to the fixed correlation strategy when the maximum emission power of the base station is 50 dBm.And the energy efficiency of the proposed joint optimal power allocation algorithm increases by about 14.5% compared to the orthogonal multiple access power allocation strategy. © 2023 Chinese Institute of Electronics. All rights reserved.