Reference : Energy Efficient Sparse Precoding Design for Satellite Communication System
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Multidisciplinary, general & others
Security, Reliability and Trust
http://hdl.handle.net/10993/51994
Energy Efficient Sparse Precoding Design for Satellite Communication System
English
Abdu, Tedros Salih mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Kisseleff, Steven mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Lagunas, Eva mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2022
Yes
The 2022 IEEE 96th Vehicular Technology Conference
26-29 September 2022
[en] Demand satisfaction ; Lagrangian relaxation ; power consumption ; Sparse precoding ; successive convex approximation
[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.
http://hdl.handle.net/10993/51994
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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