5G Technology for Internet of Things

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 15 October 2024 | Viewed by 613

Special Issue Editor


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Guest Editor
School of Computing, Dublin City University, D09 Y074 Dublin, Ireland
Interests: 5G networks

Special Issue Information

Dear Colleagues,

In recent years, we have seen a significant surge in the number of Internet of Things (IoT) applications and services across different industry verticals, including the healthcare, manufacturing, and automotive industries. These applications have different requirements, such as, e.g., for bandwidth, latency, reliability, and energy, that the current mobile networks cannot fully accommodate given the way they are built and operated. Thus, 5G technology represents an auspicious solution to the ever-growing user demands as it endorses a new architecture, called Open-RAN (O-RAN), that provides flexible and programmable network infrastructure that can be tailored to the specific needs of every application. It also implements artificial intelligence (AI) and machine learning (ML) techniques across different layers, i.e., the Radio Access Network (RAN) and Core, to enhance network management and energy efficiency. Although efforts have been devoted lately to the study and enhancement of the performance of the O-RAN architecture, several open issues need to be addressed, including service and resource management, energy consumption, security, and standardisation. As a result, this Special Issue aims to provide a comprehensive overview of the theoretical and experimental research to help shape the future development and deployment of Open-RAN-enabled IoT systems. Prospective authors are invited to submit original contributions in areas including, but not limited to, the following:

  • Novel 5G-enabled IoT frameworks;
  • O-RAN deployments for IoT use cases and applications;
  • Discovery algorithms of devices and services in 5G-enabled IoT systems;
  • Device search algorithms for 5G-enabled IoT systems;
  • Blockchain-enabled 5G-based IoT systems;
  • Intelligent devices for 5G security;
  • Optimisation algorithms for O-RAN resource allocation;
  • Interference mitigation algorithms for O-RAN;
  • Machine learning techniques for efficient energy consumption in 5G-enabled IoT systems;
  • RAN intelligent controllers;
  • Design, implementation, and evaluation of xApps, rApps, and dApps for O-RAN;
  • Machine learning techniques to enhance O-RAN security;
  • Conflict mitigation in O-RAN networks;
  • O-RAN testbeds and trials;
  • IoT in the 6th

Dr. Mohammed Amine Togou
Guest Editor

Manuscript Submission Information

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Keywords

  • 5th generation cellular communications
  • Internet of Things
  • open-RAN
  • intelligent devices
  • performance optimisation
  • energy efficiency

Published Papers (1 paper)

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Research

13 pages, 348 KiB  
Article
Joint Optimization of User Scheduling, Flight Path and Power Allocation in a UAV Secure Communication System
by Lipei Liu, Rugui Yao, Yi Xie, Ye Fan, Xiaoya Zuo, Juan Xu, Ruikang Zhong, Shijie Zheng and Xudong Li
Electronics 2024, 13(13), 2443; https://doi.org/10.3390/electronics13132443 - 21 Jun 2024
Viewed by 312
Abstract
In the future network, the data traffic increases rapidly and users’ communication service needs are diversified. The application of unmanned aerial vehicles (UAVs) in communication effectively relieves the pressure of ground communication equipment. However, the UAV-assisted communication also faces many challenges. Due to [...] Read more.
In the future network, the data traffic increases rapidly and users’ communication service needs are diversified. The application of unmanned aerial vehicles (UAVs) in communication effectively relieves the pressure of ground communication equipment. However, the UAV-assisted communication also faces many challenges. Due to the broadcast and open characteristics of the UAV communication channel in the wireless network, it is easily subject to eavesdropping, so secure and efficient communication is hard to guarantee. In order to improve the security of the UAV communication system, this paper studies the secure communication system of a UAV as a base station to assist wireless network communication. In this system, the UAV, as an airborne mobile base station, transmits confidential information to multiple users on the ground, and there is an eavesdropper around the users. The optimization problem of joint user communication scheduling, UAV flight path, and power allocation is established to maximize the minimum secrecy rate of the system. Considering the constraints of user service quality, UAV flight path, and transmit power, the optimization problem is a nonconvex problem and the solution complexity is extremely high. Therefore, we propose an efficient iterative algorithm, jointly considering the block coordinate descent method and the successive convex approximation technique. Simulation results verify the correctness of the theoretical analysis, and further show that this scheme significantly improves the minimum secrecy rate of the system compared with other benchmark schemes. Full article
(This article belongs to the Special Issue 5G Technology for Internet of Things)
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