Reference : Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/48194
Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls
English
Trinh, van Chien mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ngo, Quoc Hien mailto [School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast]
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) > >]
Debbah, Merouane mailto [CentraleSupelec, Universite Paris-Saclay & Lagrange Mathematical and Computing Research Center]
14-Jun-2021
Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls
IEEE
Yes
International
IEEE International Conference on Communications
From 14-06-2021 to 23-06-2021
IEEE
Montreal
Canada
[en] Massive MIMO ; Double Scattering Channels ; Congestion Control
[en] This paper considers a massive MIMO system under the double scattering channels. We derive a closed-form
expression of the uplink ergodic spectral efficiency (SE) by exploiting the maximum-ratio combining technique with
imperfect channel state information. We then formulate and solve a total uplink data power optimization problem that aims at simultaneously satisfying the required SEs from all the users with limited power resources. We further propose algorithms to cope with the congestion issue appearing when at least one user is served by lower SE than requested. Numerical results illustrate the effectiveness of our proposed power optimization. More importantly, our proposed congestion-handling algorithms can guarantee the required SEs to many users under congestion, even when the SE requirement is high.
Energy and CompLexity EffiCienT mIllimeter-waveLarge-Array Communications
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/48194
FnR ; FNR11306457 > Christos Tsinos > ECLECTIC > Energy And Complexity Efficient Millimiter-wave Large-aray Communications > 01/05/2017 > 30/04/2020 > 2016

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