5G and Wireless Networks Communications

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 3645

Special Issue Editors


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Guest Editor
Intelligent Wireless Technology Lab, University of Alberta, Edmonton, AB, Canada
Interests: intelligent sensors and antennas; IoT devices and systems; microwave circuits (passive and active), antenna for next-generation communication systems; measurement systems; wireless data and power transmission; numerical methods in electromagnetic and circuits
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Intelligent Wireless Technology Lab., University of Alberta, Alberta, Canada
Interests: RFID technology; printable electronics; RF/microwave circuits; active/passive RF Sensors; wireless sensors

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Guest Editor
Intelligent Wireless Technology Lab., University of Alberta, Edmonton, AB T6G 2R3, Canada
Interests: RFID/microwave sensors; integrated circuits for 5G; surface modulated antennas; active integrated antennas; RF/microwave circuits.
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, 5G wireless communication has greatly attracted the attention of the research community in both industry and academia, owing to the promises of 5G to overcome the limited bandwidth and data rates of the 4G standard, together with the ability to support the expected mobile traffic explosion and IoT. High data rates and/or high operating frequencies in 5G systems require developing new communication networks with modified hardware and software, which include communication channel modeling, antenna and mm-wave circuit design, sensor design, IoT implementation, and so on. Therefore, the purpose of this Special Issue is to present the latest technologies and developments in 5G-related subsystems. All researchers in the field are invited to contribute with their original, unpublished works. Both research and review papers are welcome.

Topics of interest include but are not limited to:

  • 5G wireless communications:
    • Network architectures;
    • Green wireless networks;
    • MIMO systems;
    • Channel modeling;
    • Microwave/mm-wave circuits;
    • Antennas and integrated antennas;
  • IoT within the 5G context:
    • Green IoT;
    • Integrated RFIDs;
    • Sensor networks;
    • Intelligent sensors;
    • Active and passive sensors;
    • Smart objects;
    • Device-to-device (D2D) communications;
    • Localization.

Dr. Rashid Mirzavand
Dr. Hossein Saghlatoon
Dr. Mohammad Mahdi Honari
Guest Editors

Manuscript Submission Information

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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. Information is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • 5G network architecture;
  • 5G green network;
  • MIMO system;
  • channel modeling;
  • microwave/mm-wave circuits;
  • antenna;
  • IoT;
  • integrated RFIDs;
  • sensor networks;
  • active/passive sensor;
  • smart objects;
  • device-to-device (D2D) communications;
  • localization

Published Papers (1 paper)

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Research

19 pages, 486 KiB  
Article
Capacity Analysis of Lattice Reduction Aided Equalizers for Massive MIMO Systems
by Samarendra Nath Sur, Rabindranath Bera, Akash Kumar Bhoi, Mahaboob Shaik and Gonçalo Marques
Information 2020, 11(6), 301; https://0-doi-org.brum.beds.ac.uk/10.3390/info11060301 - 04 Jun 2020
Cited by 6 | Viewed by 2823
Abstract
Massive multi-input-multi-output (MIMO) systems are the future of the communication system. The proper design of the MIMO system needs an appropriate choice of detection algorithms. At the same time, Lattice reduction (LR)-aided equalizers have been well investigated for MIMO systems. Many studies have [...] Read more.
Massive multi-input-multi-output (MIMO) systems are the future of the communication system. The proper design of the MIMO system needs an appropriate choice of detection algorithms. At the same time, Lattice reduction (LR)-aided equalizers have been well investigated for MIMO systems. Many studies have been carried out over the Korkine–Zolotareff (KZ) and Lenstra–Lenstra–Lovász (LLL) algorithms. This paper presents an analysis of the channel capacity of the massive MIMO system. The mathematical calculations included in this paper correspond to the channel correlation effect on the channel capacity. Besides, the achievable gain over the linear receiver is also highlighted. In this study, all the calculations were further verified through the simulated results. The simulated results show the performance comparison between zero forcing (ZF), minimum mean squared error (MMSE), integer forcing (IF) receivers with log-likelihood ratio (LLR)-ZF, LLR-MMSE, KZ-ZF, and KZ-MMSE. The main objective of this work is to show that, when a lattice reduction algorithm is combined with the convention linear MIMO receiver, it improves the capacity tremendously. The same is proven here, as the KZ-MMSE receiver outperforms its counterparts in a significant margin. Full article
(This article belongs to the Special Issue 5G and Wireless Networks Communications)
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