Massive MIMO Systems for 5G and beyond Networks

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 1767

Special Issue Editors


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Guest Editor
Faculty of Engineering – Department of Electrical and Electronic Engineering, Ariel University, Ariel 40700, Israel
Interests: wireless communications; remote sensing and radars; millimeter and terahertz waves; electromagnetic waves propagation
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Guest Editor
Department of Computer Science, Jerusalem College of Technology, Jerusalem 91160, Israel
Interests: MANET; machine learning for networks; software defined networks; radio resource management; UAV

Special Issue Information

Dear Colleagues,

The increasing demand for available and reliable wireless networks, transferring high-rate multimedia information in the presence fading and interferences calls for modern transmission and reception techniques, involving beamforming and smart antenna arrays. Today, multiple-input and multiple-output (MIMO) has become an integrated scheme in wireless communications for increasing channel capacity.

The Enhanced Mobile Broadband (eMBB) feature of the fifth-generation (5G) cellular communication standardization offers faster network connectivity with high throughput. In order to meet with this mission, new frequency bands are allocated, including in the millimeter wavelengths (MMW). Utilization of Massive MIMO and beamforming is considered for serving the expected increasing traffic.

Access to dynamic and sharing spectrum is one of the critical challenges in modern communication networks as the 5G-NR- HetNet, the next 6-Mobile-Generation, Wi-Fi 6 - 11.ax, and Wi-Fi 7. Dealing with multi-interference in the space, time and frequency domains, in parallel with the development of advance massive MIMO techniques including spatial- multiplexing, upload/download multi-user MIMO, and digital interference cancelation involves engineering complexity.

Massive MIMO techniques are calling for extensive research on Hybrid-Digital-beamforming, multi-layer decoding, multi-group–multi-user MIMO, Signal-Processing Algorithms, Soft-digital Interference Cancellation (SIC), MIMO-channel-estimation, and conventual-Massive-MIMO-techniques.

This Special Issue is aimed at addressing issues that are involved in the analysis, algorithms, design, and implementation of the different MIMO and beamforming techniques designated to improve wireless channel capacity in the presence of scattering, multipath and fading, and the immunity of the link to interferences. This includes:

  • Indoor and outdoor propagation scenarios;
  • Selective fading;
  • Space, time and frequency diversity techniques;
  • MIMO and Massive MIMO;
  • Beamforming and spatial filtering (analog and digital);
  • Interference cancellation;
  • Antenna arrays;
  • Millimeter and terahertz wave technology;
  • Terrestrial networks;
  • Unmanned Aerial Vehicle (UAV) and Flying Ad hoc networks (FANET);
  • Satellite communications;
  • The sixth generation (6G) mobile network;
  • Machine Learning methods for wireless networks.

Technical Program Committee Member:
Name: Avner Elgam
Email: Avnere@ariel.ac.il
Affiliation: Faculty of Engineering – Department of Electrical and Electronic Engineering, Ariel University, Ariel 40700, Israel
Interests: MIMO and beamforming

Prof. Dr. Yosef Pinhasi
Prof. Dr. Yoram Haddad 
Guest Editors

Manuscript Submission Information

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Keywords

  • MIMO
  • massive MIMO
  • 5G/6G
  • multi-cell deployment
  • multi-layer decoding
  • massive-MIMO propagation channel estimation
  • digital-interferences cancellation
  • RAN intelligent controller (RIC)
  • hybrid-digital beamforming
  • tri-MIMO polarization
  • UAV

Published Papers (1 paper)

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Research

26 pages, 1465 KiB  
Article
Enhancing MIMO Spatial-Multiplexing and Parallel-Decoding under Interference by Computational Feedback
by Avner Elgam, Yossi Peretz and Yosef Pinhasi
Electronics 2023, 12(3), 761; https://doi.org/10.3390/electronics12030761 - 02 Feb 2023
Viewed by 1447
Abstract
In this paper, we propose a new digital Hard-Successive-Interference-Cancellation (HSIC), the Alternating Projections-HSIC (AP-HSIC), an innovative fast computational feedback algorithm that deals with various destructive phenomena from different types of interferences. The correctness and convergence of the proposed algorithm are provided, and its [...] Read more.
In this paper, we propose a new digital Hard-Successive-Interference-Cancellation (HSIC), the Alternating Projections-HSIC (AP-HSIC), an innovative fast computational feedback algorithm that deals with various destructive phenomena from different types of interferences. The correctness and convergence of the proposed algorithm are provided, and its complexity is given. The proposed algorithm possesses the functionality of canceling digital interference without the aid of physical feedback between the receiver and the transmitter or the loading of learning information about the state of the Multiple Input–Multiple Output (MIMO) channel to the transmitter. The proposed AP-HSIC algorithm enables a parallel decoding process from the parallel transmission of Orthogonal- Space–Time-Block-Coding (OSTBC) under a complex and challenging wireless environment to facilitate the Dynamic Spectrum Sharing (DSS) capability. We present a performance comparison of the proposed algorithm with the algorithm for Multi-Group-Space–Time-Coding (MGSTC) under MIMO fading channels and general interference or high-level Additive White Gaussian Noise (AWGN). Mathematical analysis and real-time simulations show the advantages of the proposed algorithm compared to the MGSTC decoding algorithm. Full article
(This article belongs to the Special Issue Massive MIMO Systems for 5G and beyond Networks)
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