Power allocation based on energy and spectral efficiency in multi-beam satellite systems

A new algorithm aiming to optimize the power allocation to each beam was proposed in the frame work of a multi-beam satellite communication system. The algorithm focuses on both energy efficiency (EE) and spectral efficiency (SE). Suppose a shadowed Rice model is satisfied by land mobile satellite channels. Under the constraint of total power and rate of system, a double-objective optimization problem was set up, which optimizes power allocation of beams to maximize both EE and SE. Then it was analyzed that under this frame EE is quasi-concave in SE. Based on this analysis and Lagrangian duality theory, Pareto optimal solution sets can be acquired. Finally, the trade-off analysis based on the Pareto front and scalarization of this bi-criterion problem resulted in a trade-off solution. In addition, the impact of system parameters such as elevation angle, static circuit power and number of beams on algorithm performance was discussed. The simulation results demonstrate the effectiveness of this power allocation scheme for achieving desirable EE and SE and confirm the validity of the conclusion.