Flexible Resource Optimization for GEO Multibeam Satellite Communication System

Conventional GEO satellite communication systems rely on a multibeam foot-print with a uniform resource allocation to provide connectivity to users. However, applying uniform resource allocation is inefficient in presence of non-uniform demand distribution. To overcome this limitation, the next gene...

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Published in:IEEE transactions on wireless communications 2021-12, Vol.20 (12), p.7888-7902
Main Authors: Abdu, Tedros Salih, Kisseleff, Steven, Lagunas, Eva, Chatzinotas, Symeon
Format: Article
Language:English
Subjects:
Bandwidth
Bandwidths
Broadband
carrier allocation
Communications systems
Convexity
demand matching
Flexible GEO satellite
Interference
Optimization
power allocation
Radio spectrum management
Resource allocation
Resource management
Satellite broadcasting
Satellite communications
Satellites
Spectrum allocation
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cited_by cdi_FETCH-LOGICAL-c333t-cfa4afa796c9881ccec0665fa0875bfc49a8eb5e571df53285b6a7a4546e80fc3
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container_end_page 7902
container_issue 12
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creator Abdu, Tedros Salih
Kisseleff, Steven
Lagunas, Eva
Chatzinotas, Symeon
description Conventional GEO satellite communication systems rely on a multibeam foot-print with a uniform resource allocation to provide connectivity to users. However, applying uniform resource allocation is inefficient in presence of non-uniform demand distribution. To overcome this limitation, the next generation of broadband GEO satellite systems will enable flexibility in terms of power and bandwidth assignment, enabling on-demand resource allocation. In this paper, we propose a novel satellite resource assignment design whose goal is to satisfy the beam traffic demand by making use of the minimum transmit power and utilized bandwidth. The motivation behind the proposed design is to maximize the satellite spectrum utilization by pushing the spectrum reuse to affordable limits in terms of tolerable interference. The proposed problem formulation results in a non-convex optimization structure, for which we propose an efficient tractable solution. We validate the proposed method with extensive numerical results, which demonstrate the efficiency of the proposed approach with respect to benchmark schemes.
doi_str_mv 10.1109/TWC.2021.3088609
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source IEEE Electronic Library (IEL) Journals
subjects Bandwidth
Bandwidths
Broadband
carrier allocation
Communications systems
Convexity
demand matching
Flexible GEO satellite
Interference
Optimization
power allocation
Radio spectrum management
Resource allocation
Resource management
Satellite broadcasting
Satellite communications
Satellites
Spectrum allocation
title Flexible Resource Optimization for GEO Multibeam Satellite Communication System
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