Publication | Closed Access
Resource Allocation in Beam Hopping Communication Satellite System
16
Citations
6
References
2020
Year
Unknown Venue
Levy FlightSatellite NetworkResource Optimization ModelWeighted RevenueEngineeringAerospace EngineeringEdge ComputingSatellite CommunicationFirefly AlgorithmSpace-air-ground Integrated NetworkDynamic Resource AllocationComputer EngineeringSystems EngineeringResource AllocationDistributed Antenna ArchitectureCuckoo SearchResource OptimizationOperations Research
As the number of ground users with different priorities continues to grow, user resource requirements will eventually exceed the capacity limit of communications satellites. How to make full use of the flexibility of beam-hopping under the condition of limited resources to serve as many high-weight users and high-priority services as possible, will be an urgent problem to be solved. We first analyzes the technical characteristics of the beam-hopping antenna and clarifies the minimum granularity of the communication resources. A resource optimization model was established by taking the weighted revenue of service users as the objective function and taking into communication capacity constraints. Finally, an improved cuckoo algorithm is proposed for optimization, whose Levy flight is in integer space. Simulation results show that the new method proposed in this paper achieves higher user weight gain than the classic method.
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