Downlink performance of multi-beam multi-satellite CDMA-based LEO satellite system with power control

Waheed, U.A.; Vimal, Kripa

doi:10.1109/glocom.2000.891315

Cited by 1 publication

(1 citation statement)

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“…The current multi-beam satellite cooperative transmission systems only consider the resource allocation between the inner beams of a single satellite. For multi-beam satellite communication systems, only the resource allocation of CDMA (Code Division Multiple Access) is considered between different satellites and different beams [20,21]. In [22], they introduce a potential game-based approach to implement collaborative user scheduling and power allocation in the uplink multi-beam satellite IoT (S-IoT) networks.…”

Section: Related Workmentioning

confidence: 99%

A Multi-Beam Satellite Cooperative Transmission Scheme Based on Resources Optimization and Packets Segmentation

Deng

Lin

et al. 2021

Electronics

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Multi-beam satellite communication systems are promising architectures in the future. A packet is transmitted by multi-satellite and multi-beam cooperatively, which can provide efficient spectrum utilization, improve system throughput, and guarantee Quality of Services (QoS). In multi-beam satellite communication systems, multi-layer and multi-dimensional radio resources change dynamically, which leads to the discontinuity of optimal resources and the lack of mapping balance between packets and radio resources. To deal with these problems, we propose a cross-layer and cross-dimension radio resources optimization model based on the weighted discrete firefly algorithm and an adaptive packet segmentation scheme based on the irregular gradient algorithm. The cross-layer and cross-dimension radio resources optimization model based on the weighted discrete firefly algorithm simulates cross-layer and cross-dimension optimization for the high-dynamic and multi-dimensional radio resources by considering the channel state information (CSI) and QoS in the multi-beam satellite communication system. The optimal resources are taken as the weight of irregular gradient algorithm to segment packets and map packets to radio resources, which can realize the mapping balance between packets and radio resources and ensure the efficiency and reliability of communication. The simulations show that the new transmission scheme improves the normalized system throughput and user satisfaction index by 18.7% and 6.2%, respectively.

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Section: Related Workmentioning

confidence: 99%