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2019 | OriginalPaper | Buchkapitel

Toward Optimal Selective Beam Allocation with Guaranteed Fairness for Multibeam Satellite Systems

verfasst von : Shengchao Shi, Guangxia Li, Zhiqiang Li, Zijun Liu, Zhongwu Xiang

Erschienen in: Communications, Signal Processing, and Systems

Verlag: Springer Singapore

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Abstract

With the increasing of traffic demand in satellite systems, it is essential to maximize the efficiency of resource utilization due to the expense and scarcity of on-board resources. In this paper, we propose a selective beam allocation algorithm with guaranteed fairness for multibeam satellite systems. The algorithm can achieve an acceptable trade-off between the maximum total capacity and the fairness among the spot-beams by allocating the basic power and bandwidth for low priority beams. In addition, the resources allocated for low priority beams can be adjusted flexibly by introducing a lower bound of the capacity. Extensive simulations evaluate the performance of the proposed algorithm. The results demonstrate that the total capacity of the proposed algorithm is 99% of water-filling algorithm. Furthermore, comparing with common selective beam allocation algorithm, the Jain Fairness index is improved by 20%.

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Metadaten
Titel
Toward Optimal Selective Beam Allocation with Guaranteed Fairness for Multibeam Satellite Systems
verfasst von
Shengchao Shi
Guangxia Li
Zhiqiang Li
Zijun Liu
Zhongwu Xiang
Copyright-Jahr
2019
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6571-2_228

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