MIMO for Next Generation Wireless Systems

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

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 5106

Special Issue Editor


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Guest Editor
1. Instituto de Telecomunicações, 1049-001 Lisboa, Portugal
2. NOVA School of Science and Technology, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
Interests: wireless communications; MIMO systems; OFDM modulation

Special Issue Information

Dear Colleagues,

With the market penetration of 5G in the 30 GHz band, massive digitally controllable antenna arrays will be deployed worldwide. This trend will be reinforced in beyond 5G systems, where base stations will have a co-location of several compact arrays covering different azimuthal sectors, with hundreds or thousands of antennas per site. Thus, new strategies for antenna deployment, such as extremely large aperture arrays (ELAA) or holographic massive MIMO (HmMIMO), are needed to deploy more than a few hundred antennas per site and to obtain a truly massive MIMO (mMIMO) spatial resolution beyond 5G.

Cell-free mMIMO and radio stripes are among the techniques based on ELAA. One key advantage over mMIMO with compact arrays lies in the wider higher area with high throughput achieved by these techniques. Capacity can even be boosted with the integration of a huge number of antennas in a limited surface aperture as in HmMIMO. However, more antennas implemented in a distributed way means storing and analyzing huge quantities of channel state information (CSI), which is needed to implement interference-rejecting precoding and in combining schemes. Another problem lies in the energy burden due to computational complexity and the front-haul capacity requirements when thousands of antennas share a common centralized processing unit. However, tight latency requirements could lead to solutions where processing is done in a distributed way using local digital baseband processing units located in a base station or user device. Since processing power is limited in such devices, new algorithms are needed to improve efficiency. To deal with increasingly complex optimization problems and the huge amount of traffic generated by these ultra-dense massive MIMO structures, new techniques and network protocols/algorithms are needed to ensure that very low latency requirements are met.

Accordingly, this Special Issue calls for recent advances related to massive MIMO technologies beyond 5G that cover signal processing, hardware and complexity optimization, traffic optimization management, distributed and centralized optimized processing architectures, security, and implementation aspects. Topics of interest in this Special Issue include, but are not limited to, the following:

  • Transmitter and receiver techniques for mMIMO;
  • Low energy/hardware complexity implementations (analog/digital mMIMO, 1 bit DAC/ADC, NL amplifiers, etc.);
  • Channel estimation in mMIMO;
  • mMIMO techniques for cell-free mMIMO systems;
  • mMIMO for energy harvesting;
  • mMIMO large intelligent surfaces, reconfigurable intelligent surfaces, intelligent reflexive surfaces, etc.;
  • Radio stripes;
  • Machine learning and efficient distributed processing architectures and optimized resource allocation schemes;
  • Network and traffic optimization for ultra-dense mMIMO;
  • Physical security in mMIMO;
  • Proof-of-concept (PoC) and trials.

Prof. Dr. Paulo Montezuma
Guest Editor

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Published Papers (2 papers)

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15 pages, 363 KiB  
Article
Coverage and Spectral Efficiency of Network Assisted Full Duplex in a Millimeter Wave System
by Yingli He, Dongqin Zhao, Zhenqi Fan, An Lu, Xinjiang Xia and Dongming Wang
Electronics 2022, 11(1), 5; https://doi.org/10.3390/electronics11010005 - 21 Dec 2021
Viewed by 1775
Abstract
To cope with the growing trend of asymmetric data traffic, we introduce a novel network assisted full duplex (NAFD) for a millimeter wave system. NAFD can dynamically allocate the number of remote radio heads in the uplink mode or in the downlink mode, [...] Read more.
To cope with the growing trend of asymmetric data traffic, we introduce a novel network assisted full duplex (NAFD) for a millimeter wave system. NAFD can dynamically allocate the number of remote radio heads in the uplink mode or in the downlink mode, which can facilitate simultaneous uplink and downlink communications. In this manuscript, we use stochastic geometry to analyze the distribution of the signal-to-interference-plus-noise ratio and the data rate in a NAFD system. The numerical results verify the analysis and show that the NAFD outperforms the dynamic time division duplex system and the traditional flexible duplex system in terms of spectral efficiency. Full article
(This article belongs to the Special Issue MIMO for Next Generation Wireless Systems)
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17 pages, 4821 KiB  
Article
SSOR Preconditioned Gauss-Seidel Detection and Its Hardware Architecture for 5G and beyond Massive MIMO Networks
by Robin Chataut, Robert Akl, Utpal Kumar Dey and Mohammadreza Robaei
Electronics 2021, 10(5), 578; https://doi.org/10.3390/electronics10050578 - 1 Mar 2021
Cited by 9 | Viewed by 2575
Abstract
With the limitedness of the sub-6 GHz bandwidth, the world is exploring a thrilling wireless technology known as massive MIMO. This wireless access technology is swiftly becoming key for 5G, B5G, and 6G network deployment. The massive MIMO system brings together antennas at [...] Read more.
With the limitedness of the sub-6 GHz bandwidth, the world is exploring a thrilling wireless technology known as massive MIMO. This wireless access technology is swiftly becoming key for 5G, B5G, and 6G network deployment. The massive MIMO system brings together antennas at both base stations and the user terminals to provide high spectral service. Despite the fact that massive MIMO offers astronomical benefits such as low latency, high data rate, improved array gain, and far better reliability, it faces several implementation challenges due to the hundreds of antennas at the base station. The signal detection at the base station during the uplink is one of the critical issues in this technology. Detection of user signal becomes computationally complex with a multitude of antennas present in the massive MIMO systems. This paper proposes a novel preconditioned and accelerated Gauss–Siedel algorithm referred to as Symmetric Successive Over-relaxation Preconditioned Gauss-Seidel (SSORGS). The proposed algorithm will address the signal detection challenges associated with massive MIMO technology. Furthermore, we enhance the convergence rate of the proposed algorithm by introducing a novel Symmetric Successive Over-relaxation preconditioner (SSOR) scheme and an initialization scheme based on the instantaneous channel condition between the base station and the user. The simulation results show that the proposed algorithm referred to as Symmetric Successive Over-relaxation Preconditioned Gauss-Seidel (SSORGS) provides optimal BER performance. At BER =103, over the range of SNR, the SSORGS algorithm performs better than the traditional algorithms. Additionally, the proposed algorithm is computationally more efficient than the traditional algorithms. Furthermore, we designed a comprehensive hardware architecture for the SSORGS algorithm to find the interrelated components necessary to build the actual physical system. Full article
(This article belongs to the Special Issue MIMO for Next Generation Wireless Systems)
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