Advances in mmWave Massive MIMO Systems

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

Deadline for manuscript submissions: 15 August 2024 | Viewed by 1247

Special Issue Editor


E-Mail Website
Guest Editor
Instituto de Telecomunicações (IT), DETI, Universidade de Aveiro, 3810-193 Aveiro, Portugal
Interests: multicarrier-based systems; cooperative networks; precoding; multiuser detection; massive MIMO and millimeter wave communications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The use of an unlicensed spectrum at a millimeter-wave (mmWave) frequency band has enabled the massive increase in wireless data associated with the next generation of wireless communications. MmWave has been already considered in 5G NR together with massive MIMO by enabling the technologies needed to meet the quality of service requirements for future wireless communication (B5G and/or 6G). The use of MIMO with mmWave is very attractive since it allows for packing more antennas in the same volume due to the smaller wavelength compared to the current communication systems; hence, the terminals can be equipped with a large number of antennas. The combination of massive MIMO with mmWave is very promising, but it also presents several difficulties. For instance, the channels tend to be more correlated, and the power consumption and high cost of some hardware components of radio frequency (RF) chains (e.g., analog-to-digital converters (ADCs) and digital-to-analog converters (DACs), mixers, power amplifiers, etc., which can be much more complex at mmWave frequencies) make it impracticable to have one fully dedicated RF chain for each antenna. Although several studies on this topic have been carried out in recent years, there are several issues yet to be solved in the design of practical and efficient solutions.

In this Special Issue, we are interested in high-quality submissions that mainly highlight recent advances in massive MIMO mmWave systems. The topics of interest include, but are not limited to, the following:

  • Low complexity millimeter wave and massive MIMO architectures (e.g., hybrid);
  • Analog–digital transmit and receive beamforming;
  • Massive MIMO cell-free schemes;
  • Cell-free massive MIMO with radio strips;
  • Joint sensing and communication beamforming;
  • Distributed and centralized transmit and receive schemes;
  • Physical layer security in the context of massive MIMO mmWave systems;
  • Reconfigurable and large intelligent surfaces;
  • NOMA schemes for massive MIMO and millimeter wave systems.

Technical Program Committee Member:

Dr. Thuan Dinh Do
Affiliation: School of Engineering, University of Mount Union, OH 44601, USA
Homepage: https://sites.google.com/site/thuannthu/
E-mail: [email protected]
Research Interests: reconfigurable intelligent surfaces-assisted networks; ML/federated learning in wireless systems; heterogeneous networks; massive MIMO; mmWave communication networks

Dr. Suneel Yadav
Affiliation: Department of Electronics and Communication Engineering, Indian Institute of Information Technology Allahabad, Prayagraj, 211015, India
Homepage: https://sites.google.com/a/iiita.ac.in/suneelyadav/home
E-mail: [email protected]
Research Interests: reconfigurable intelligent surfaces-aided wireless communications; ambient backscatter communications; mmWave and THz communications; physical layer security; cooperative and relay communications; MIMO communication

Dr. Adão Silva
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • massive MIMO
  • millimeter wave systems
  • 6G
  • cell-free massive MIMO
  • massive MIMO architectures.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

15 pages, 444 KiB  
Article
Robust Energy-Efficient Transmission for Cell-Free Massive MIMO Systems with Imperfect CSI
by Wenhuan Gao, Yu Zhang, Lilan Liu, Renbin Fang, Jingyi Sun, Lei Zhu and Zhizhong Zhang
Electronics 2023, 12(16), 3384; https://doi.org/10.3390/electronics12163384 - 8 Aug 2023
Cited by 1 | Viewed by 933
Abstract
In this paper, we investigate a long-term power minimization problem of cell-free massive multiple-input multiple-output (MIMO) systems. To address this issue and to ensure the system queue stability, we formulate a dynamic optimization problem aiming to minimize the average total power cost in [...] Read more.
In this paper, we investigate a long-term power minimization problem of cell-free massive multiple-input multiple-output (MIMO) systems. To address this issue and to ensure the system queue stability, we formulate a dynamic optimization problem aiming to minimize the average total power cost in a time-varying system under imperfect channel conditions. The problem is then converted into a real-time weighted sum rate maximization problem for each time slot using the Lyapunov optimization technique. We employ approximation techniques to design robust sparse beamforming, which enables energy savings of the network and mitigates channel uncertainty. By applying direct fractional programming (DFP) and alternating optimization, we can obtain a locally optimal solution. Our DFP-based algorithm minimizes the average total power consumption of the network while satisfying the quality of service requirements for each user. Simulation results demonstrate the rapid convergence of the proposed algorithm and illustrate the tradeoff between average network power consumption and queue latency. Full article
(This article belongs to the Special Issue Advances in mmWave Massive MIMO Systems)
Show Figures

Figure 1

Back to TopTop