Massive MIMO for 5G

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 September 2020) | Viewed by 7404

Special Issue Editor


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Guest Editor
Faculty of Science and Technology, New University of Lisbon, 1070-312 Lisbon, Portugal
Interests: signal processing for digital communications; modulation and transmitter design; coding; nonlinear effects on digital communications and receiver design, with emphasis on frequency-domain implementations, namely for MIMO systems and/or OFDM and SC-FDE modulations and energy-efficient tran

Special Issue Information

Dear Colleagues,

Massive MIMO (or called large-scale MIMO) technologies will play a key role in the implementation of 5G systems and beyond. The massive MIMO's potential goes much further beyond that of previous systems by adding a much higher capacity while at the same time expanding the freedom degrees in the system design and optimization, due to the high number of antennas employed on the base station and mobile devices. The “massive” number of antennas brings drastic improvements in throughput and efficiency, along with more complex designs to coordinate MIMO operations, but also new freedom degrees for the system’s design that can be explored to maximize the energy, capacity, and coverage of further 5G systems and beyond.

This Special Issue accordingly calls for recent advances related to massive MIMO technologies that cover all signal processing, energy-efficient techniques, 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;
  • mMIMO architectures;
  • Low energy/complexity implementations (analog/digital mMIMO, low resolution DAC/ADC, strongly NL amplifiers, etc.);
  • Channel estimation in mMIMO;
  • Resource allocation in mMIMO;
  • mMIMO techniques for positioning and source localization;
  • mMIMO for energy harvesting;
  • mMIMO evolution (large intelligent surfaces, reconfigurable intelligent surfaces, intelligent reflexive surfaces, etc.);
  • Physical security in mMIMO;
  • Proof-of-concept (PoC) and trials.

Prof. Dr. Paulo Montezuma-Carvalho
Guest Editor

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Keywords

  • freedom degrees
  • transmitter and receiver techniques
  • low energy/complexity implementations
  • mMIMO architectures
  • resource allocation
  • large intelligent surfaces
  • physical security in mMIMO

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Published Papers (3 papers)

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Research

20 pages, 2049 KiB  
Article
Low-Complexity Multi-User Parameterized Beamforming in Massive MIMO Systems
by Geon-Woong Jung and Yong-Hwan Lee
Electronics 2020, 9(6), 882; https://doi.org/10.3390/electronics9060882 - 26 May 2020
Cited by 2 | Viewed by 2264
Abstract
In this paper, we design a complexity-reduced transmission scheme in massive antenna environments. To reduce the implementation complexity for the generation of beam weight, we design a multi-user parameterized beamforming (MUPB) scheme that can control the beam direction using a single parameter with [...] Read more.
In this paper, we design a complexity-reduced transmission scheme in massive antenna environments. To reduce the implementation complexity for the generation of beam weight, we design a multi-user parameterized beamforming (MUPB) scheme that can control the beam direction using a single parameter with combined use of maximum ratio transmission and partial zero-forcing scheme that partially nulls out interference. We design the MUPB to maximize the signal-to-leakage plus noise ratio (SLNR). To further reduce the implementation complexity, we optimize the MUPB based on approximated SLNR instead of accurate SLNR. Finally, the performance of the proposed MUPB is verified by computer simulation. Full article
(This article belongs to the Special Issue Massive MIMO for 5G)
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17 pages, 588 KiB  
Article
Low Complexity Angular-Domain Detection for the Uplink of Multi-User mmWave Massive MIMO Systems
by Xiaoxuan Xia, Wence Zhang, Yinkai Fu, Xu Bao and Jing Xia
Electronics 2020, 9(5), 795; https://doi.org/10.3390/electronics9050795 - 12 May 2020
Cited by 2 | Viewed by 2272
Abstract
To compromise between the system performance and hardware cost, millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems have been regarded as an enabling technology for the fifth generation of mobile communication systems (5G). This paper considers a low-complexity angular-domain compressing based detection (ACD) [...] Read more.
To compromise between the system performance and hardware cost, millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems have been regarded as an enabling technology for the fifth generation of mobile communication systems (5G). This paper considers a low-complexity angular-domain compressing based detection (ACD) for uplink multi-user mmWave massive MIMO systems, which involves hybrid analog and digital processing. In analog processing, we perform angular-domain compression on the received signal by exploiting the sparsity of the mmWave channel to reduce the dimension of the signal space. In digital processing, the proposed ACD scheme works well with zero forcing (ZF)/maximum ratio combining (MRC)/minimum mean square error (MMSE) detection schemes. The performance analysis of the proposed ACD scheme is provided in terms of achievable rates, energy efficiency and computational complexity. Simulations are carried out and it shows that compared with existing works, the proposed ACD scheme not only reduces the computational complexity by more than 50 % , but also improves the system’s achievable rates and energy efficiency. Full article
(This article belongs to the Special Issue Massive MIMO for 5G)
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17 pages, 1101 KiB  
Article
Trajectory Prediction and Channel Monitoring Aided Fast Beam Tracking Scheme at Unlicensed mmWave Bands
by Pengru Li, Danpu Liu, Xiaolin Hou and Jing Wang
Electronics 2020, 9(5), 747; https://doi.org/10.3390/electronics9050747 - 1 May 2020
Cited by 3 | Viewed by 2494
Abstract
Unlicensed 60 GHz millimeter band has a great potential in industrial Internet of things (IIoT) owing to its continuous large bandwidth. However, the signal transmission in this band suffers from high propagation loss, thus beamforming is adopted to provide directional gain. With the [...] Read more.
Unlicensed 60 GHz millimeter band has a great potential in industrial Internet of things (IIoT) owing to its continuous large bandwidth. However, the signal transmission in this band suffers from high propagation loss, thus beamforming is adopted to provide directional gain. With the increasing number of beams, beam alignment and tracking in mobility scenario may incur unacceptable latency and overhead, and the existing beam management mechanism is no longer suitable. To reduce the latency and signaling overhead during beam tracking, we propose a fast beam tracking scheme with the help of trajectory prediction and channel monitoring. More specifically, we firstly quantify the beam coherent time to reduce the frequency of beam searching. Then, a two-stage heuristic trajectory prediction and channel monitoring aided fast beam tracking scheme is proposed to obtain the optimal beam pairs in the process of terminal movement and make sure that the interference on the directional beam is under the limit. Simulation results verify the effectiveness of the beam coherent time and the advantages of the proposed scheme in terms of complexity, outage probability, and effective spectrum efficiency. Full article
(This article belongs to the Special Issue Massive MIMO for 5G)
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