Optimal Linear Precoding under Realistic Satellite Communications Scenarios

FFR; MU-MIMO; power control; precoding; satellite communications; Full frequency reuse; Linear pre-coding; Linear precoders; Multi-user-multiple-input-multiple-output; Multiple inputs; Multiple outputs; Multiusers; Power-control; Precoding; Satellite communications; Automotive Engineering

Abstract :

[en] In this paper, optimal linear precoding for the multibeam geostationary earth orbit (GEO) satellite with the multi-user (MU) multiple-input-multiple-output (MIMO) downlink scenario is addressed. Multiple-user interference is one of the major issues faced by the satellites serving the multiple users operating at the common time-frequency resource block in the downlink channel. To mitigate this issue, the optimal linear precoders are implemented at the gateways (GWs). The precoding computation is performed by utilizing the channel state information obtained at user terminals (UTs). The optimal linear precoders are derived considering beamformer update and power control with an iterative per-Antenna power optimization algorithm with a limited required number of iterations. The efficacy of the proposed algorithm is validated using the In-Lab experiment for 16×16 precoding with multi-beam satellite for transmitting and receiving the precoded data with digital video broadcasting satellite-second generation extension (DVB-S2X) standard for the GW and the UTs. The software defined radio platforms are employed for emulating the GWs, UTs, and satellite links. The validation is supported by comparing the proposed optimal linear precoder with full frequency reuse (FFR), and minimum mean square error (MMSE) schemes. The experimental results demonstrate that with the optimal linear precoders it is possible to successfully cancel the inter-user interference in the simulated satellite FFR link. Thus, optimal linear precoding brings gains in terms of enhanced signal-To-noise-And-interference ratio, and increased system throughput and spectral efficiency.

Disciplines :

Electrical & electronics engineering

Author, co-author :

EAPPEN, Geoffrey ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SigCom > Team Symeon CHATZINOTAS

GONZALEZ RIOS, Jorge Luis ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

SINGH, Vibhum ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

PALISETTY, Rakesh ; Shiv Nadar Institution of Eminence Deemed to Be University, Department of Electrical Engineering, Delhi NCR, India

Haqiqtnejad, Alireza ; OQ Technology, Leudelange, Luxembourg

MARTINEZ MARRERO, Liz ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SigCom

KRIVOCHIZA, Jevgenij; SES S.A. Château de Betzdorf, Betzdorf, Luxembourg

QUEROL, Jorge ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

MATURO, Nicola ; European Space Agency-ESA, Leiden, Netherlands

MERLANO DUNCAN, Juan Carlos ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

More authors (3 more)

External co-authors :

yes

Language :

English

Title :

Optimal Linear Precoding under Realistic Satellite Communications Scenarios

Publication date :

December 2024

Journal title :

IEEE Open Journal of Vehicular Technology

eISSN :

2644-1330

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Pages :

81-91

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx8/8782711/10774192/10772061.pdf?arnumber=10772061

FnR Project :

FNR16352790 - Ground-based Distributed Beamforming Harmonization For The Integration Of Satellite And Terrestrial Networks., 2021 (01/06/2022-31/05/2025) - Juan Merlano Duncan

Funders :

ESA - European Space Agency
FNR - Luxembourg National Research Fund

Available on ORBilu :

since 17 December 2024

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