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Massive IoT Communication in 5G Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (10 February 2023) | Viewed by 2201

Special Issue Editors


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Guest Editor
Department of Information Engineering, University of Padova, 35131 Padua, Italy
Interests: massive IoT; LPWANs; MAC protocols for massive IoT
Special Issues, Collections and Topics in MDPI journals

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Co-Guest Editor
Applied Computing Graduate Program, University of Rio dos Sinos Valley (Unisinos), Sao Leopoldo, Brazil
Interests: machine learning; industry 4.0; telecommunications; computer networks; wireless networks; 5G; 6G; smart cities; healthcare; IoT

Special Issue Information

Dear Colleagues,

Massive machine type communications (mMTC) are one of the key pillars of Fifth generation cellular communications (5G) as standardized by 3GPP. Release 17 of the 3GPP specifications includes topics such as "Small Data Transmissions in Inactive State" and "Support of reduced-capability NR devices".

While acknowledging the substantial progress in providing mMTC connections in 5G, the possibility to have massive machine type communications in licensed (and possibly unlicensed) spectrum is still open. Further options are opened by the possibility to use Satellites for mMTC.

This Special Issue is seeking original contributions on (but not limited to) the following topics:

  • Radio interface enhancements for terrestrial and satellite-based 5G and beyond mMTC connectivity;
  • MAC layer protocol enhancements for terrestrial and satellite-based 5G and beyond mMTC connectivity;
  • Network architectures for terrestrial and satellite-based 5G and beyond mMTC;
  • Reduced complexity architectures for user equipment in terrestrial and satellite-based 5G and beyond mMTC;
  • Special applications of terrestrial and satellite-based 5G and beyond mMTC in verticals such as, for example:
    • Precision agriculture;
    • Infrastructure monitoring;
    • Logistics and asset tracking;
    • Smart cities.

Dr. Lorenzo Vangelista
Guest Editor

Prof. Dr. Rafael Kunst
Co-Guest Editor

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. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • mMTC
  • Massive IoT
  • 5G

Published Papers (1 paper)

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Research

14 pages, 692 KiB  
Article
Simultaneous Wireless Information and Power Transfer in Multi-User OFDMA Networks with Physical Secrecy
by Pubet Sangmahamad, Kampol Woradit and Poompat Saengudomlert
Sensors 2022, 22(10), 3814; https://0-doi-org.brum.beds.ac.uk/10.3390/s22103814 - 18 May 2022
Cited by 1 | Viewed by 1425
Abstract
This paper considers simultaneous wireless information and power transfer (SWIPT) from a base station to multiple Internet of Things (IoT) nodes via orthogonal frequency-division multiple access (OFDMA), where every node can eavesdrop on the subcarriers allocated to other nodes. Application layer encryption is [...] Read more.
This paper considers simultaneous wireless information and power transfer (SWIPT) from a base station to multiple Internet of Things (IoT) nodes via orthogonal frequency-division multiple access (OFDMA), where every node can eavesdrop on the subcarriers allocated to other nodes. Application layer encryption is unsuitable for IoT nodes relying on energy harvesting, and physical layer secrecy should be deployed. The different channels among users on every subcarrier can be exploited to obtain physical layer secrecy without using artificial noise. We propose an algorithm to maximize the secrecy rate of IoT nodes by jointly optimizing the power splitting ratio and subcarrier allocation. For fairness, the lowest total secrecy rate among users is maximized. Through simulations, the proposed algorithm is compared with the minimum effort approach, which allocates each subcarrier to the strongest node and selects the minimum sufficient power splitting ratio. The obtained secrecy rate is 3 times (4.5 over 1.5 bps/Hz) higher than that of the minimum effort approach in every case of parameters: the base station’s transmit power, the minimum harvested energy requirement of an IoT node and the energy harvesting efficiency. Full article
(This article belongs to the Special Issue Massive IoT Communication in 5G Systems)
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