Downlink power allocation in distributed satellite system based on dynamic multi-objective optimization

Distributed satellite system (DSS) is a novel concept in satellite communication field. The system provides a flexible space scenario for multi-service network with guaranteed quality of service (QoS). To make different kinds of satellites to accomplish complex mission collaboratively, the resource must be properly allocated among different satellites with different requests. This paper investigates the downlink power allocation problem in DSS. Considering the high dynamics and the multi-constrains of the system, a dynamic multi-objective approach called constellation-level power allocation based on the immune clonal algorithm for dynamic multi-objective optimization (ICADMO) is proposed. The comparison and analysis of the performance between the proposed approach and other algorithms are carried out through the simulation results.