Reference : Energy Efficient Sparse Precoding Design for Satellite Communication System

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/51994

Title :	Energy Efficient Sparse Precoding Design for Satellite Communication System
Language :	English
Author, co-author :	Abdu, Tedros Salih [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 :	2022
Peer reviewed :	Yes
Event name :	The 2022 IEEE 96th Vehicular Technology Conference
Event date :	26-29 September 2022
Keywords :	[en] Demand satisfaction ; Lagrangian relaxation ; power consumption ; Sparse precoding ; successive convex approximation
Abstract :	[en] Through precoding, the spectral efficiency of the system can be improved; thus, more users can benefit from 5G and beyond broadband services. However, complete precoding (using all precoding coefficients) may not be possible in practice due to the high signal processing complexity involved in calculating a large number of precoding coefficients and combining them with symbols for transmission. In this paper, we propose an energy-efficient sparse precoding design, where only a few precoding coefficients are used with lower power consumption depending on the demand. In this context, we formulate an optimization problem that minimizes the number of in-use precoding coefficients and the system power consumption while matching the per beam demand. This problem is nonconvex. Hence, we apply Lagrangian relaxation and successive convex approximation to convexify it. The proposed solution outperforms the benchmark scheme in power consumption and demand satisfaction with the additional advantage of sparse precoding design.
Permalink :	http://hdl.handle.net/10993/51994
FnR project :	FnR ; FNR14603732 > Tedros Salih Abdu > INSAT > Power And Bandwidth Allocation For Interference-limited Satellite Communication Systems > 01/03/2020 > 30/09/2023 > 2020FNR13696663 > Eva Lagunas > FlexSAT > Resource Optimization For Next Generation Of Flexible Satellite Payloads > 01/03/2020 > 28/02/2023 > 2019

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