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5G and beyond Cellular Networks for Intelligent Sensing Systems
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5G and beyond Cellular Networks for Intelligent Sensing Systems

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

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 40587

Special Issue Editors

Prof. Dr. Muhammad Ali Imran

E-Mail Website
Guest Editor
James Watt School of Engineering, University of Glasgow, Glasgow, UK
Interests: 5G and Beyond networks
Special Issues, Collections and Topics in MDPI journals
Dr. Yusuf Sambo

E-Mail Website
Guest Editor
James Watt School of Engineering, University of Glasgow: Glasgow, Glasgow, UK
Interests: wireless communications; IoT; resource management; SON
Dr. Oluwakayode Onireti

E-Mail Website
Guest Editor
James Watt School of Engineering, University of Glasgow, Glasgow, UK
Interests: wireless communications; blockchain; energy-efficiency; network slicing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Lei Zhang

E-Mail Website
Guest Editor
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QF, UK
Interests: distributed consensus; distributed systems; blockchain/distributed ledger technology (DLT); connected autonomous systems; Internet of Things (IoT)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Intelligent sensing has been receiving a lot of attention from the industry, academia and the general public due to its numerous applications in enhancing service delivery of businesses and improving socio-economic lives of communities. Accordingly, 5G cellular networks are being designed to support massive machine-type communication (mMTC) and enhanced Mobile Broadband (eMBB) applications, in addition to Ultra-Reliable and Low Latency Communication (URLLC). These KPIs will allow 5G networks to support up to 1 million devices per square kilometer and the huge amount of data that will be generated by intelligent sensors.

The proposed special issue will comprise of a collection of the latest high-quality technical research and industrial papers with novel results covering intelligent sensors for 5G-and-beyond networks. The main aim of this special issue is to provide a platform for the dissemination of major research challenges and achievements on this topic. Theoretical investigations as well as experiments/demos are welcome.

Potential topics include, but are not limited to

  • Communication algorithms, protocols, standards and architectures for IoT and sensor networks
  • Massive IoT/massive machine type communication
  • Low power wide area (LPWA) technologies such as NB-IoT, Lora, etc.
  • Data analytics for intelligent sensing networks
  • Novel geo-location techniques for intelligent sensors
  • Intelligent reflecting surfaces
  • Sensor network and the applications to e.g., healthcare/ wearable systems, smart X.
  • Security and privacy for IoT and sensor networks
  • IoT and SN hardware and new devices
  • Relays and multiple networks in intelligent sensing systems
  • Software for IoT and sensor networks
  • Wireless ad-hoc Sensor networks
  • Intelligent routing and data transfer in IoT and SN
  • Computing and storage and data management for IoT and sensor networks
  • URLLC communications
  • Resource management, network slicing
  • Autonomous systems and UAVs
  • Other related issues
Prof. Muhammad Ali Imran
Dr. Yusuf Sambo
Dr. Oluwakayode Onireti
Dr. Lei Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • IoT
  • Sensor networks
  • 5G and Beyond
  • mMTC
  • URLLC
  • Security

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Published Papers (2 papers)

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21 pages, 8778 KiB  
Article
Pilot Decontamination Using Asynchronous Fractional Pilot Scheduling in Massive MIMO Systems
by Muhammad Irshad Zahoor, Zheng Dou, Syed Bilal Hussain Shah, Imran Ullah Khan, Sikander Ayub and Thippa Reddy Gadekallu
Sensors 2020, 20(21), 6213; https://doi.org/10.3390/s20216213 - 30 Oct 2020
Cited by 16 | Viewed by 2884
Abstract
Due to large spectral efficiency and low power consumption, the Massive Multiple-Input-Multiple-Output (MIMO) became a promising technology for the 5G system. However, pilot contamination (PC) limits the performance of massive MIMO systems. Therefore, two pilot scheduling schemes (i.e., Fractional Pilot Reuse (FPR) and [...] Read more.
Due to large spectral efficiency and low power consumption, the Massive Multiple-Input-Multiple-Output (MIMO) became a promising technology for the 5G system. However, pilot contamination (PC) limits the performance of massive MIMO systems. Therefore, two pilot scheduling schemes (i.e., Fractional Pilot Reuse (FPR) and asynchronous fractional pilot scheduling scheme (AFPS)) are proposed, which significantly mitigated the PC in the uplink time division duplex (TDD) massive MIMO system. In the FPR scheme, all the users are distributed into the central cell and edge cell users depending upon their signal to interference plus noise ratio (SINR). Further, the capacity of central and edge users is derived in terms of sum-rate, and the ideal number of the pilot is calculated which significantly maximized the sum rate. In the proposed AFPS scheme, the users are grouped into central users and edge users depending upon the interference they receive. The central users are assigned the same set of pilots because these users are less affected by interference, while the edge users are assigned the orthogonal pilots because these users are severely affected by interference. Consequently, the pilot overhead is reduced and inter-cell interference (ICI) is minimized. Further, results verify that the proposed schemes outperform the previous proposed traditional schemes, in terms of improved sum rates. Full article
(This article belongs to the Special Issue 5G and beyond Cellular Networks for Intelligent Sensing Systems)
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Review

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35 pages, 3074 KiB  
Review
Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction
by Robin Chataut and Robert Akl
Sensors 2020, 20(10), 2753; https://doi.org/10.3390/s20102753 - 12 May 2020
Cited by 338 | Viewed by 36007
Abstract
The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of wireless access technology known as massive Multiple-Input Multiple-Output (MIMO). Massive MIMO is one of the key enabling technology for next-generation networks, which groups together antennas at both [...] Read more.
The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of wireless access technology known as massive Multiple-Input Multiple-Output (MIMO). Massive MIMO is one of the key enabling technology for next-generation networks, which groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency using relatively simple processing. Obtaining a better understating of the massive MIMO system to overcome the fundamental issues of this technology is vital for the successful deployment of 5G—and beyond—networks to realize various applications of the intelligent sensing system. In this paper, we present a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. We discuss all the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in a massive MIMO system and discuss some state-of-the-art mitigation techniques. We outline recent trends such as terahertz communication, ultra massive MIMO (UM-MIMO), visible light communication (VLC), machine learning, and deep learning for massive MIMO systems. Additionally, we discuss crucial open research issues that direct future research in massive MIMO systems for 5G and beyond networks. Full article
(This article belongs to the Special Issue 5G and beyond Cellular Networks for Intelligent Sensing Systems)
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