Advances in mmWave Massive MIMO

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 December 2023) | Viewed by 919

Special Issue Editors


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Guest Editor
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: compressive sensing based signal processing; deep learning based signal processing; massive MIMO; grant-free access
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Department of Computing and Communications, Lancaster University, Lancaster LA1 4YW, UK
Interests: wireless communication; radio resource management; mMTC; low latency communications; B5G/6G; multi-access edge computing (MEC); machine learning

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Guest Editor
School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: millimeter/terahertz wave; massive MIMO; vehicle edge computing; SWIPT; cloud radio access network; intelligent reflective surface
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the development of mobile communication, the quantity of mobile communication devices and data consumption has increased sharply, and the diverse needs of users are also escalating. Many emerging applications, such as 4K live broadcasting, ultra-high-definition video, and virtual reality, put forward higher requirements for the capacity and data rate of the communication system. The sixth generation (6G) aims to establish an ultra-large-scale and ultra-high-rate wireless communication system. The current frequency band has been completely allocated and is limited to satisfy the demands of 6G and future wireless communication networks, and exploring new spectrum resources is an urgent concern. The millimeter-wave (mmWave) band is expected to break the spectrum bottleneck. However, mmWave Massive MIMO will face many problems, such as energy consumption, complex signal processing, high channel estimation overhead, massive inter-user interference, etc.

With this in mind, it is necessary to investigate mmWave massive MIMO technologies for next generation wireless communication, including advanced massive MIMO antenna architecture, hybrid precoding, channel estimation and prediction, and signal processing algorithm for mmWave massive MIMO techniques. These techniques include modulation and coding technology for mmWave massive MIMO, massive access technology, IRS, and cell-free massive MIMO, distributed massive MIMO, AI for mmWave massive MIMO, etc. Specifically, this Special Issue will look to develop efficient physical layer technologies for mmWave massive MIMO. Topics of this Special Issue interest include, but are not limited to, the following:

  • MmWave massive MIMO antenna architecture;
  • Hybrid percoding for mmWave massive MIMO;
  • Fast channel estimation and channel prediction;
  • Pilot design for mmWave massive MIMO;
  • Interference cancellation and massive access technology;
  • Distributed mmWave massive MIMO;
  • Cell-free mmWave massive MIMO;
  • Signal processing for massive MIMO;
  • AI integrated mmWave massive MIMO;
  • Modulation and coding technology for mmWave massive MIMO.

Prof. Dr. Lixia Xiao
Dr. Wenjuan Yu
Dr. Wanming Hao
Guest Editors

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Published Papers (1 paper)

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Research

14 pages, 415 KiB  
Article
Physical Layer Security of the MIMO-NOMA Systems under Near-Field Scenario
by Xueyu Liu, Lei Zhang, Wenwu Xie, Yang Cao and Chaojie Fan
Electronics 2024, 13(4), 670; https://doi.org/10.3390/electronics13040670 - 06 Feb 2024
Viewed by 619
Abstract
In this paper, we propose a secure transmission framework for near-field MIMO-NOMA systems. This architecture integrates beamforming mechanisms for both transmission and reception, allowing the base station to send encrypted information to authorized users, effectively countering eavesdropping attempts in a near-field environment. To [...] Read more.
In this paper, we propose a secure transmission framework for near-field MIMO-NOMA systems. This architecture integrates beamforming mechanisms for both transmission and reception, allowing the base station to send encrypted information to authorized users, effectively countering eavesdropping attempts in a near-field environment. To optimize the secrecy communication capability in the near field, a two-phase alternating optimization algorithm is introduced. In the first phase, the semidefinite relaxation (SDR) method is used to relax constraints in the problem and convert it into a semidefinite programming (SDP) problem. In the second phase, the successive convex approximation (SCA) algorithm is employed to transform the original non-convex problem into a convex optimization problem, obtaining a locally optimal solution through multiple iterations. Simulation results validate that the proposed near-field communication strategy exhibits superior secrecy communication capabilities under various parameter settings compared to far-field communication strategies. Full article
(This article belongs to the Special Issue Advances in mmWave Massive MIMO)
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