Abstract
Beam hopping technology is considered to provide a high level of flexible resource allocation to manage uneven traffic requests in multi-beam high throughput satellite systems. Conventional beam hopping resource allocation methods assume constant rainfall attenuation. Different from conventional methods, by employing genetic algorithm this paper studies dynamic beam hopping time slots allocation under the effect of time-varying rain attenuation. Firstly, a beam hopping system model as well as rain attenuation time series based on Dirac lognormal distribution are provided. On this basis, the dynamic allocation method by employing genetic algorithm is proposed to obtain both quantity and arrangement of time slots allocated for each beam. Simulation results show that, compared with conventional methods, the proposed algorithm can dynamically adjust time slots allocation to meet the non-uniform traffic requirements of each beam under the effect of time-varying rain attenuation and effectively improve system performance.
Highlights
Through a large number of beams and frequency-reuse, high-throughput satellites (HTS) have been improving in their system performance
A beam hopping system model as well as rain attenuation time series based on Dirac lognormal distribution are provided
In order to validate the Electronics 2021, 10, 2909 proposed algorithm performance, rain attenuation time series based on Dirac log-normal distribution are provided to simulate the rainfall environment
Summary
Through a large number of beams and frequency-reuse, high-throughput satellites (HTS) have been improving in their system performance. A beam hopping system model as well as rain attenuation time series based on Dirac lognormal distribution are provided On this basis, the genetic algorithm (GA) [25] for beam hopping is proposed by considering uneven traffic demand and changeable spectrum efficiency. Simulation results show that, compared with conventional methods, the proposed algorithm can dynamically adjust time slots allocation to meet the non-uniform traffic requirements of each beam under the effect of time-varying rain attenuation and effectively improve system performance. By adding more constrained conditions, the proposed system model, objective function, and algorithm flow can be employed to solve similar problems in beam hopping system such as resource allocation under the effect of co-channel interference.
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