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5G and Beyond: Technologies and Communications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 1633

Special Issue Editors


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Guest Editor
School of Business, Computing and Social Sciences, University of Gloucestershire, The Park, Cheltenham GL502RH, UK
Interests: mobile broadband network optimization; IoT and edge computing and security; programmable data plane; virtualized and Cloud RAN

E-Mail Website
Guest Editor
Department of Mathematics and Computer Science, Karlstad University, 65188 Karlstad, Sweden
Interests: wireless communication; mobile systems; Internet of Things; resource allocation; spectrum management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We warmly welcome you to submit your research articles and surveys to this Special Issue, entitled "5G and Beyond: Technologies and Communications" of Applied Science (ISSN 2076-3417). As the digital landscape continues to evolve at a rapid pace, the emergence of next-generation wireless technology represents a significant opportunity for transformations that are poised to reshape how we connect, communicate, and interact with the world. The groundbreaking technology of 5G unlocks a multitude of opportunities, ranging from facilitating immersive virtual reality experiences and the seamless integration of Internet of Things (IoT) devices, to supporting mission-critical applications such as autonomous vehicles and remote surgery. Progressing to Beyond 5G holds the promise of ultra-high data rates, ultra-low latency, enhanced reliability, and massive connectivity, paving the way for transformative advancements in critical sectors such as healthcare, transportation, manufacturing, and entertainment. These wireless technologies exhibit the potential to revolutionize communication and redefine the very fabric of our digital society, ushering in an era of seamless, ubiquitous connectivity that empowers all individuals. As we embark on this journey toward the future of communication, it is imperative that we explore the possibilities, challenges, and opportunities presented by these next-generation technologies, driving innovation and shaping the trajectory of technological evolution for future generations.

This Special Issue is dedicated to advancing our understanding and the application of fifth-generation (5G) and beyond fifth-generation (B5G) wireless technologies, and their impact on modern communications. It seeks to encompass a diverse array of topics, including, but not limited to, the following:

  • Evolution and enhancements of 5G networks
  • Emerging standards, architectures, and protocols for future-generation wireless systems
  • Internet of Things (IoT) and machine-to-machine (M2M) communication in 5G and beyond
  • Edge computing and fog computing for wireless infrastructures
  • Spectrum management and dynamic spectrum access techniques
  • Millimeter wave and Terahertz communication technologies
  • Integrated satellite–terrestrial networks
  • Quantum communication for wireless networks
  • Artificial intelligence (AI) and machine learning (ML) in future wireless systems
  • Ultra-reliable low-latency communication (URLLC) for mission-critical applications
  • Massive MIMO and beamforming techniques for B5G networks
  • Energy-efficient and sustainable wireless communication solutions
  • Security and privacy considerations in advanced wireless systems
  • Network slicing and virtualization for flexible and scalable wireless infrastructures.

In this Special Issue, original research articles and reviews are welcome. We look forward to receiving your contributions.

Dr. Mah-Rukh Fida
Dr. Giuseppe Caso
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. Applied Sciences 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

  • 5G
  • Beyond 5G
  • advanced wireless communications
  • terahertz communication
  • satellite
  • terrestrial networks
  • quantum communication
  • AI and ML in wireless systems
  • URLLC
  • massive MIMO
  • network slicing

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Published Papers (2 papers)

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Research

22 pages, 2991 KiB  
Article
Highly Efficient Hybrid Reconfigurable Intelligent Surface Approach for Power Loss Reduction and Coverage Area Enhancement in 6G Networks
by Aya Kh. Ahmed and Hamed S. Al-Raweshidy
Appl. Sci. 2024, 14(15), 6457; https://doi.org/10.3390/app14156457 - 24 Jul 2024
Viewed by 552
Abstract
This paper introduces a novel efficient hybrid reconfigurable intelligent surface (RIS) approach designed to significantly reduce power loss and enhance coverage area in 6G networks. The core innovation of this approach lies in an advanced iterative algorithm introduced as the Hybrid reconfigurable intelligent [...] Read more.
This paper introduces a novel efficient hybrid reconfigurable intelligent surface (RIS) approach designed to significantly reduce power loss and enhance coverage area in 6G networks. The core innovation of this approach lies in an advanced iterative algorithm introduced as the Hybrid reconfigurable intelligent surface decision-making algorithm (HRIS-DMA) that integrates precise user location data into the RIS configuration process. By dynamically adjusting RIS elements to reflect and direct signals based on real-time user positions, this method minimises signal attenuation and optimises signal propagation. The mechanism driving the performance gains includes precise beamforming and intelligent reflection, continuously refined through iterative updates. This technique ensures robust signal strength and expanded coverage, addressing the challenges of dense and diverse deployment scenarios in 6G networks. The proposed scheme’s application in 6G networks demonstrates substantial improvements in signal quality and network reliability, paving the way for enhanced user experiences and efficient communication infrastructures. This novel approach was tested using MATLAB R2023a, and its performance was evaluated using three downlink scenarios: zero to few, few to moderate, and moderate to many obstacles. The three scenarios show higher coverages than conventional simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) and base station (BS) handover. Based on the evaluation metrics, the analysis results of the novel HRIS-DMA show 70% less signal power loss, 0.17 μs less system delay, 25 dB and 12 dB channel gain compared with the conventional STAR-RIS and BS handover, respectively, and 95% improvement in the overall system’s efficiency compared to STAR-RIS and 13% compared to BS-BS handover. Full article
(This article belongs to the Special Issue 5G and Beyond: Technologies and Communications)
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18 pages, 3821 KiB  
Article
A Placement Method of the 5G Edge Nodes Based on the Hotspot Distribution of Mobile Users
by Ruowei Gui, Xingjun Zhang, Xiaolin Gui and Jinsong Han
Appl. Sci. 2024, 14(13), 5943; https://doi.org/10.3390/app14135943 - 8 Jul 2024
Viewed by 517
Abstract
Due to the emergence of various new applications, such as short videos and online games, higher requirements of their computing and storage capacity are demanded of mobile networks. The traditional cloud computing paradigm has the shortcomings of large latency and high bandwidth demand [...] Read more.
Due to the emergence of various new applications, such as short videos and online games, higher requirements of their computing and storage capacity are demanded of mobile networks. The traditional cloud computing paradigm has the shortcomings of large latency and high bandwidth demand of the core network. Therefore, how to mine the hotspot distribution of these applications and reasonably configure 5G edge nodes to reduce latency and core network bandwidth are facing great challenges. To address these issues, we designed a placement method for the 5G edge nodes based on mobile hotspots. In this method, we first cluster all locations from the user trajectories to obtain the cluster areas. Further, we extract the features, such as the number of users and duration time in all cluster areas, and extract the hotspots from all cluster areas based on the features of each cluster. Then, we introduce the base station’s high load utilization rate and the core network’s bandwidth reduction rate as the optimization parameters to construct the mathematical model of multi-objective optimization. Finally, we formalize the model into a 0–1 integer programming problem and design a greedy algorithm to solve this model. We also complete a series of experiments to evaluate our proposed methods using the GeoLife dataset. The experimental results show that the high load utilization rate can be increased up to 7.69%, and the bandwidth reduction rate of the core network can be improved up to 6.34%. Full article
(This article belongs to the Special Issue 5G and Beyond: Technologies and Communications)
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