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 2328

Special Issue Editor


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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
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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

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Keywords

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

Published Papers (2 papers)

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32 pages, 668 KiB  
Article
Survey on Resource Allocation for Future 6G Network Architectures: Cell-Free and Radio Stripe Technologies
by Filipe Conceição, Marco Gomes, Vitor Silva and Rui Dinis
Electronics 2024, 13(13), 2489; https://doi.org/10.3390/electronics13132489 - 25 Jun 2024
Viewed by 878
Abstract
Future beyond fifth-generation (B5G) and sixth-generation (6G) communication systems require a higher quality of service (QoS) along with meeting multiple objectives and traffic demands. Consequently, new multi-antenna technologies and massive multiple-input-multiple-output (mMIMO) architectures have been proposed in recent years. This paper delves into [...] Read more.
Future beyond fifth-generation (B5G) and sixth-generation (6G) communication systems require a higher quality of service (QoS) along with meeting multiple objectives and traffic demands. Consequently, new multi-antenna technologies and massive multiple-input-multiple-output (mMIMO) architectures have been proposed in recent years. This paper delves into the foundational concepts that form the basis for the design of two potential future mMIMO network topologies: cell-free (CF) network and its successor, the radio stripe (RS) system. Key aspects of the mMIMO and CF network concepts are addressed, along with a practical sequential implementation based on RSs. This exploration encompasses intricate details of the channel estimation (CE) phase, as well as the uplink (UL) and downlink (DL) transmission and reception phases. We then focus on analyzing optimization concepts that underpin resource allocation (RA) algorithms, specifically those applied in UL power allocation and access point selection (APS) schemes in both CF and RS networks. This comprehensive understanding serves as a robust foundation for addressing the challenges inherent in achieving the conflicting B5G and 6G major key performance indicators (KPIs), such as enhancements on spectral efficiency (SE), power efficiency (PE), and computational complexity or load balance (LB). Full article
(This article belongs to the Special Issue Advances in mmWave Massive MIMO Systems)
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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 1077
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)
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