User distribution based dynamic coverage adjustment method for low earth orbit satellite communication

Abstract

Compared with the traditional geosynchronous orbit earth and medium earth orbit satellite communication systems, the low earth orbit (LEO) satellite communication system has the real-time communication capability of all time, all weather and all terrain, which is the only way to achieve seamless coverage of global mobile communication. A seasonal autoregressive integrated moving average (S-ARIMA) model is used for satellite load forecast. Traffic load measured by the first N satellites is processed to obtain stationary sequence via difference and seasonal difference. Then on the basis of traffic load forecast, the corresponding resource management strategy is selected in light load scenario or heavy load scenario. Light load scenario is limited-coverage, satellite parameter adjustment can enlarge the coverage of beams to reduce resource waste as far as possible. Heavy load scenario is limited-capacity, satellite parameter adjustment can narrow beam coverage and reduce the amount of traffic load. Simulation results show that S-ARIMA model can accurately forecast the load of satellites, and the proposed method can improve resource utilization and reduce energy consumption of satellites.