Recent Advances in Millimeter Wave Communications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 May 2023) | Viewed by 2322

Special Issue Editors


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Guest Editor
Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
Interests: wireless communication; MIMO; massive MIMO; mmWave; 5G and MAC algorithms

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Guest Editor
Univ Lyon, INSA Lyon, Inria, CITI, F-69621 Villeurbanne, France
Interests: IoT; capacity; Network Performance; UNB; Random-FTMA; Channel characteristics

Special Issue Information

Dear Colleagues,

Millimeter-wave (mmWave) communication is now part of the 5G standards, and along with communication in the THz bands, it is considered a solution to “spectrum crunch”— scarcity of commercial bandwidth in the sub-6GHz region. The abundance of mostly unused, contiguous bandwidth in the 30–300 GHz range has offered a unique opportunity to increase wireless networks’ throughput manifold.

While this area of research is relatively new and still quite fertile, there is a sizable literature on solving problems stemming from the nature of mmWave communications, the high free space pathloss, and susceptibility to blockage, to name a few, and the challenges these factors pose in PHY and MAC layers and above. This literature has produced new fascinating results and insights, and there is reason for great optimism that many new, exciting advancements are within grasp. Therefore, we invite you to contribute with your high-quality research and reports on advances in mmWave 5G and beyond to this Special Issue of Electronics on “Recent Advances in Millimeter Wave Communication”. These topics include but are not limited to:

  • Channel measurement and modeling;
  • Energy efficiency;
  • Hardware design and development for communication at mmWave and THz frequencies;
  • MIMO and massive MIMO in mmWave bands;
  • Multicell cooperation, cell densification, and interference management;
  • Latency and other KPIs in mmWave networks;
  • Network planning and optimization;
  • V2X communication in mmWave and handover;
  • Testbeds and experiment-based research in mmWave;
  • MAC and TCP/IP designs and algorithms for mmWave;
  • Machine/Deep learning solutions in mmWave wireless networks;
  • New use cases and applications.

Dr. C. Nicolas Barati
Dr. Claire Goursaud
Guest Editors

Manuscript Submission Information

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Keywords

  • mmWave
  • 5G and beyond
  • 6G
  • V2X mmWave
  • Beamforming
  • mmWave MAC and TCP
  • ML/DL
  • Multicell

Published Papers (1 paper)

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Research

22 pages, 26261 KiB  
Article
Radar-Assisted Multiple Base Station Cooperative mmWave Beam Tracking
by Kean Chen, Danpu Liu and Zhilong Zhang
Electronics 2023, 12(7), 1672; https://doi.org/10.3390/electronics12071672 - 1 Apr 2023
Cited by 1 | Viewed by 1703
Abstract
In the future vehicular networks with an increased number of transceiver antennas and higher vehicle speeds, more frequent beam switching is required to ensure the quality of communication, which poses challenges to beam tracking speed and resource efficiency. Integrated sensing and communication (ISAC) [...] Read more.
In the future vehicular networks with an increased number of transceiver antennas and higher vehicle speeds, more frequent beam switching is required to ensure the quality of communication, which poses challenges to beam tracking speed and resource efficiency. Integrated sensing and communication (ISAC) provide a new solution to cope with this problem since radar echo can help to predict the vehicle’s future location and beam direction. Therefore, we present a radar-assisted beam tracking algorithm based on Extended Kalman filtering (EKF) and multi-road side unit (RSU) cooperation in this article. Each RSU uses EKF and radar echo to predict and track the vehicle position and upload the prediction information to the edge server (ES). By deploying multiple RSUs, the ES uses the uploaded distributed sensing information for joint estimation and thus improves the accuracy of vehicle location prediction, which is used for the beam tracking task at the next moment. Considering the real complex road conditions, we investigate two scenarios where vehicles move linearly or curvilinearly. Simulation results show that the proposed method with multiple base station cooperation improves the spectral efficiency by 34% and 20% over non-cooperative beam tracking in linear and curvilinear mobility, respectively. In addition, compared with traditional beam tracking based on beam scanning and signaling feedback, radar-assisted beam tracking significantly reduces the communication overhead. Full article
(This article belongs to the Special Issue Recent Advances in Millimeter Wave Communications)
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