Reference : Uplink Power Control in Massive MIMO with Double Scattering Channels
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/50267
Uplink Power Control in Massive MIMO with Double Scattering Channels
English
Trinh, van Chien mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ngo, Quoc Hien mailto [Queen’s University Belfast > School of Electronics, Electrical Engineering and Computer Science]
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, Mérouane mailto [Technology Innovation Institute, Abu Dhabi, United Arab Emirates and University Paris-Saclay > CentraleSupélec]
2021
IEEE Transactions on Wireless Communications
Institute of Electrical and Electronics Engineers
Yes (verified by ORBilu)
International
1536-1276
1558-2248
New York
NY
[en] Massive MIMO ; double scattering channels ; total transmit power minimization ; congestion issue
[en] Massive multiple-input multiple-output (MIMO) is a key technology for improving the spectral and energy efficiency in
5G-and-beyond wireless networks. For a tractable analysis, most of the previous works on Massive MIMO have been focused on the system performance with complex Gaussian channel impulse responses under rich-scattering environments. In contrast, this paper investigates the uplink ergodic spectral efficiency (SE) of each user under the double scattering channel model. We derive a closed-form expression of the uplink ergodic SE by exploiting the maximum ratio (MR) combining technique based on imperfect channel state information. We further study the asymptotic SE behaviors as a function of the number of antennas at each base station (BS) and the number of scatterers available at each radio channel. We then formulate and solve a total energy optimization problem for the uplink data transmission that aims at simultaneously satisfying the required SEs from all the users with limited data power resource. Notably, our proposed algorithms can cope with the congestion issue appearing when at least one user is served by lower SE than requested. Numerical results illustrate the effectiveness of the closed-form ergodic SE over Monte-Carlo simulations. Besides, the system can still provide the required SEs to many users even under congestion.
RISOTTI-Reconfigurable Intelligent Surface for Smart Cities (FNR/C20/IS/14773976/RISOTTI)
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/50267
10.1109/TWC.2021.3108849

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