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Electronics
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New Challenges in 5G Networks Design
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New Challenges in 5G Networks Design

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 July 2023) | Viewed by 11359

Special Issue Editors

Dr. Toan-Van Nguyen

E-Mail Website
Guest Editor
Electrical and Computer Engineering Department, Utah State University, Logan, UT 84322, USA
Interests: cooperative communications; deep learning; URLLC; cognitive communications; physical layer security
Dr. Thien Huynh-The

E-Mail Website
Guest Editor
ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi 39177, Korea
Interests: radio signal processing in 5G networks; signal identification; waveform and modulation recognition; channel estimation in wireless communications; machine learning and deep learning for visual applications and communications
Special Issues, Collections and Topics in MDPI journals
Dr. Muhammad Atif Ur Rehman

E-Mail Website
Guest Editor
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester M15 6BH, UK
Interests: wireless communication; mobile/wireless information-centric networking; edge cloud computing; vehicular fog computing; microservice-centric networking; beyond 5G communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the increasing evolution of the Internet-of-Things (IoTs) has led to an upsurge in diversified applications with heterogeneous services, especially those supported by artificial intelligence (AI). The new networking paradigms and system architectures will revolutionize current 5G networks and evolve from “connected things” to “connected intelligence”, supporting ubiquitous AI services that provide sustainability and competitiveness. This transformation of network architectures and quality-of-service (QoS) requirements provides new challenges to achieving high data rates, security, sustainability, and latency in the design of 5G networks. This Special Issue will present new challenges with respect to the theoretical foundations and practical implementation of 5G communication networks and their evolution. Prospective authors are cordially invited to submit their original manuscripts on topics including, but not limited to:

  • Challenges in cross-layer design with high data rates and massive, secure, or high mobility URLLC for 5G networks;
  • Challenges in designing the next generation of access technologies;
  • Performance analysis and evaluation of 5G networks;
  • Challenges in new network architectures for URLLC services;
  • Performance optimization for topological enhancements (e.g., relays, repeaters, UAVs, massive MIMO);
  • Low-complexity phase shift design for reconfigurable intelligent surfaces (RIS) in 5G networks;
  • Challenges in integrated sensing and communication for 5G networks;
  • Challenges in real-world deployments, experiments, prototypes, and testbeds for 5G;
  • AI/ML for 5G networks;
  • Challenges in mobile edge computing for intelligent and fast responses of 5G;
  • Challenge in vehicular fog computing for efficient communication in 5G-based autonomous vehicles;
  • Challenges in dynamic resource allocation in edge-based 5G networks;
  • Challenges in intelligent resource orchestration for 5G networks;
  • Challenges in information centric distributed edge learning for 5G networks;
  • Challenges in microservice-centric communication protocols for 5G networks.

Dr. Toan-Van Nguyen
Dr. Thien Huynh-The
Dr. Muhammad Atif Ur Rehman
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. Electronics 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 2400 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 networks
  • 5G wireless networks
  • information-centric networking
  • microservice-centric communication
  • vehicular fog computing
  • distributed edge learning
  • intellegent resouce orchestration
  • microservices migrations
  • security
  • privacy
  • resource allocation
  • cross-layer design
  • multi-access edge computing
  • massive MIMO
  • cooperative communication
  • beamforming
  • deep learning
  • intelligent reflecting surfaces (IRS) and unmanned aerial vehicles (UAV)
  • non-orthogonal multiple access (NOMA)
  • ultra-reliable low-latency communications (URLLC)
  • modulation/waveform recognition
  • interference management
  • wireless information and power transfer

Published Papers (4 papers)

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Research

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20 pages, 431 KiB  
Article
Outage Performance of Interference Cancellation-Aided Two-Way Relaying Cognitive Network with Primary TAS/SC Communication and Secondary Partial Relay Selection
by Pham Minh Nam, Ha Duy Hung, Lam-Thanh Tu, Pham Viet Tuan, Tran Trung Duy and Tan Hanh
Electronics 2022, 11(22), 3645; https://doi.org/10.3390/electronics11223645 - 08 Nov 2022
Cited by 5 | Viewed by 1324
Abstract
In this paper, we propose a two-way relaying scheme using digital network coding in an underlay cognitive radio network. In the proposed scheme, the transmit antenna selection and selection techniques are combined using a primary transmitter and a primary receiver, respectively. In the [...] Read more.
In this paper, we propose a two-way relaying scheme using digital network coding in an underlay cognitive radio network. In the proposed scheme, the transmit antenna selection and selection techniques are combined using a primary transmitter and a primary receiver, respectively. In the secondary network, two source nodes that cannot directly communicate attempt to exchange their data with each other. As a result, the relaying technique using partial relay selection is applied to assist the data exchange. Particularly, at the first time slot, the selected secondary relay applies an interference cancellation technique to decode the data received from the secondary sources. Then, the selected relay uses digital network coding to send XOR-ed data to the sources at the second time slot. We first derive the outage probability of the primary network over block the Rayleigh fading channel. Then, the transmit power of the secondary transmitters including the source and relay nodes are calculated to guarantee the quality of service of the primary network. Finally, the exact closed-form formulas of the outage probability of the secondary sources over the block Rayleigh fading channel are derived, and then verified by computer simulations using the Monte Carlo method. Full article
(This article belongs to the Special Issue New Challenges in 5G Networks Design)
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20 pages, 5103 KiB  
Article
Practical Performance Analyses of 5G Sharing Voice Solution
by Xiao Li, Mingshuo Wei and Weiliang Xie
Electronics 2022, 11(15), 2412; https://doi.org/10.3390/electronics11152412 - 02 Aug 2022
Viewed by 3484
Abstract
Sharing network infrastructure is carried out by a few network operators in the world and is regarded as an effective means to accelerate the commercial 5G with seamless coverage and user experience guarantees but significantly reduced investment. Voice via IMS has been defined [...] Read more.
Sharing network infrastructure is carried out by a few network operators in the world and is regarded as an effective means to accelerate the commercial 5G with seamless coverage and user experience guarantees but significantly reduced investment. Voice via IMS has been defined as the voice-bearing solution from 3rd-Generation Partnership Project (3GPP) Release 5. Release 15 pointed out that 5G still adopts the IMS-based voice service architecture. In such a background, and in the process of global 5G network evolution from non-stand-alone (NSA) to stand-alone (SA), how to bear 5G voice services in the sharing network infrastructure has quite a few technical options. This paper investigates the 5G access network sharing technical solutions and presents the voice bearer technology under different new radio (NR) evolution stages. Analysis was performed for the different stages of voice handover. Performance results from field tests are provided to verify the feasibility of the solution, and performance analysis such as end-to-end call setup delay was also carried out. From the theoretical and practical analysis, the voice over long-term evolution (VoLTE) non-back-to-home solution has a relatively short access delay in the NSA sharing stage; EPS fallback based on either handover or redirection introduces a large time delay, so EPS fallback can only be used as a transition solution in the early stage of SA sharing deployment; voice over new radio (VoNR) has the lowest access time delay and the simplest implementation solution, so it is the final voice solution for 5G SA sharing network. The comparison of different voice-bearing solutions in different network development stages provides a reference for countries around the world. Full article
(This article belongs to the Special Issue New Challenges in 5G Networks Design)
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Review

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49 pages, 6741 KiB  
Review
Interference Challenges and Management in B5G Network Design: A Comprehensive Review
by Osamah Thamer Hassan Alzubaidi, MHD Nour Hindia, Kaharudin Dimyati, Kamarul Ariffin Noordin, Amelia Natasya Abdul Wahab, Faizan Qamar and Rosilah Hassan
Electronics 2022, 11(18), 2842; https://doi.org/10.3390/electronics11182842 - 08 Sep 2022
Cited by 20 | Viewed by 3999
Abstract
Beyond Fifth Generation (B5G) networks are expected to be the most efficient cellular wireless networks with greater capacity, lower latency, and higher speed than the current networks. Key enabling technologies, such as millimeter-wave (mm-wave), beamforming, Massive Multiple-Input Multiple-Output (M-MIMO), Device-to-Device (D2D), Relay Node [...] Read more.
Beyond Fifth Generation (B5G) networks are expected to be the most efficient cellular wireless networks with greater capacity, lower latency, and higher speed than the current networks. Key enabling technologies, such as millimeter-wave (mm-wave), beamforming, Massive Multiple-Input Multiple-Output (M-MIMO), Device-to-Device (D2D), Relay Node (RN), and Heterogeneous Networks (HetNets) are essential to enable the new network to keep growing. In the forthcoming wireless networks with massive random deployment, frequency re-use strategies and multiple low power nodes, severe interference issues will impact the system. Consequently, interference management represents the main challenge for future wireless networks, commonly referred to as B5G. This paper provides an overview of the interference issues relating to the B5G networks from the perspective of HetNets, D2D, Ultra-Dense Networks (UDNs), and Unmanned Aerial Vehicles (UAVs). Furthermore, the existing interference mitigation techniques are discussed by reviewing the latest relevant studies with a focus on their methods, advantages, limitations, and future directions. Moreover, the open issues and future directions to reduce the effects of interference are also presented. The findings of this work can act as a guide to better understand the current and developing methodologies to mitigate the interference issues in B5G networks. Full article
(This article belongs to the Special Issue New Challenges in 5G Networks Design)
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Other

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18 pages, 2138 KiB  
Perspective
Modelling of ML-Enablers in 5G Radio Access Network-Conceptual Proposal of Computational Framework
by Malgorzata Tomala and Kamil Staniec
Electronics 2023, 12(3), 481; https://doi.org/10.3390/electronics12030481 - 17 Jan 2023
Viewed by 1643
Abstract
The fifth generation (5G) of mobile networks connects people, things, data, applications, transport systems, and cities in smart networked communication environments. With the growth in the amount of generated data, the number of wirelessly connected machines, traffic types, and associated requirements, ensuring high-quality [...] Read more.
The fifth generation (5G) of mobile networks connects people, things, data, applications, transport systems, and cities in smart networked communication environments. With the growth in the amount of generated data, the number of wirelessly connected machines, traffic types, and associated requirements, ensuring high-quality mobile connectivity becomes incredibly difficult for technology suppliers. Mobile operators and network vendors enrolling in 5G face far more rapid demands than any technology before, and at the same time need to ensure efficiency and reliability in the network operations. In fact, intelligent forecasting and decision-making strategies are several of the centerpieces of current artificial intelligence research in various domains. Due to its strong fitting ability, machine learning is seen to have great potential to be employed to solve telecommunication networks’ optimization problems that range from the design of hardware elements to network self-optimization. This paper addresses the question of how to apply artificial intelligence to 5G radio access control and feed ML techniques with radio characteristic-based automatic data collection to achieve ML-based evaluation of 5G performance. The proposed methodology endorses ML tools for the 5G portfolio scenarios requirements assessment and integrates into the mature methods for network performance optimization: self-organizing networks (SON) and minimization of drive tests (MDT). In this context, the proposed treatment guides future network deployments and implementations adopted on a 3GPP standard basis. Full article
(This article belongs to the Special Issue New Challenges in 5G Networks Design)
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