Reference : Precoding-Aided Bandwidth Optimization for High Throughput Satellite Systems

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/48426

Title :	Precoding-Aided Bandwidth Optimization for High Throughput Satellite Systems
Language :	English
Author, co-author :	Abdu, Tedros Salih [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Lei, Lei [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Kisseleff, Steven [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Lagunas, Eva [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2021
Peer reviewed :	No
Audience :	International
Event name :	2021 IEEE 5G World Forum
Event date :	13-15 October 2021
Keywords :	[en] GEO satellite ; bandwidth allocation ; demand satisfaction ; linear precoding
Abstract :	[en] Linear precoding boosts the spectral efficiency of the satellite system by mitigating the interference signal. Typically, all users are precoded and share the same bandwidth regardless of the user demand. This bandwidth utilization is not efficient since the user demand permanently varies. Hence, demand-aware bandwidth allocation with linear precoding is promising. In this paper, we exploited the synergy of linear precoding and flexible bandwidth allocation for geostationary (GEO) high throughput satellite systems. We formulate an optimization problem with the goal to satisfy the demand by taking into account that multiple precoded user groups can share the different bandwidth chunks. Hence, optimal beam groups are selected with minimum bandwidth requirement to match the per beam demand. The simulation results show that the proposed method of combining bandwidth allocation and linear precoding has better bandwidth efficiency and demand satisfaction than benchmark schemes.
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/48426
DOI :	10.1109/5GWF52925.2021.00010
FnR project :	FnR ; FNR14603732 > Tedros Salih Abdu > INSAT > Power And Bandwidth Allocation For Interference-limited Satellite Communication Systems > 01/03/2020 > 30/09/2023 > 2020;FNR13696663 > Eva Lagunas > FlexSAT > Resource Optimization For Next Generation Of Flexible Satellite Payloads > 01/03/2020 > 28/02/2023 > 2019

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