Resource Allocation Scheme in High Throughput Satellite Systems Based on Dynamic Beam-coverage Algorithm

Xu, Chunge; Du, Qinghe

doi:10.1109/iccc55456.2022.9880689

Cited by 5 publications

(1 citation statement)

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“…In [18], a joint user grouping and beam design algorithm was proposed to optimize the direction and beamwidth of a multibeam system; however, IBI was not considered as the approach was limited to a single active beam per time slot. In [19], a multi-beam system was proposed for non-uniformly distributed ground users, based on the classical four-color frequency reuse framework. The proposed scheme added some lexibility to the ixed-cell approach by dividing the beam locations in highly dense user locations into smaller beams in size without changing the predesigned ixed-cell beam locations.…”

Section: Introductionmentioning

confidence: 99%

Adaptive multibeam hopping in geo satellite networks with non-uniformly distributed ground users

Heba Shehata,

Hazer Inaltekin,

Iain B. Collings

2024

ITU J-FET

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This paper designs a novel low-complexity user-cluster grouping algorithm for adaptive beam hopping in geostationary satellite networks equipped with multibeam phased-array antennas. Each beam serves a cluster of users, and the challenge is to design a beam-hopping pattern where no beams are simultaneously serving nearby user clusters. We develop a line search procedure to identify near-optimum groupings for heterogeneous traffic demands. We provide a necessary condition to determine the boundaries of the line search space. Our approach employs exclusion regions around critical user clusters in congested areas, iterates a sequential congestion-based grouping algorithm, and applies a group-member-swapping procedure. It provides max-min fairness for ground users. Extensive numerical studies have shown that our user grouping algorithm produces near-optimum beam-hopping schedules with low outage probability. It achieves an improvement of up to 13dB in the worst-case signal-to-interference and noise ratio, and doubles the zero-outage data rate, compared to benchmark approaches.

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Section: Introductionmentioning

confidence: 99%