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Electronics
Special Issues
Sixth-Generation Wireless Communications: Theory and Applications
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Sixth-Generation Wireless Communications: Theory and Applications

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

Deadline for manuscript submissions: 15 August 2024 | Viewed by 552

Special Issue Editors

Dr. Jie Huang

E-Mail Website
Guest Editor
1. National Mobile Communications Research Laboratory, School of Information of Science and Engineering, Southeast University, Nanjing 210096, China
2. Purple Mountain Laboratories, Nanjing 211111, China
Interests: millimeter wave, massive MIMO; reconfigurable intelligent surface channel measurements and modeling; wireless big data; electromagnetic information theory; 6G wireless communications
Special Issues, Collections and Topics in MDPI journals
Dr. Yu Liu

E-Mail Website
Guest Editor
School of Integrated Circuits, Shandong University, No.1500, Shunhua Road, Gaoxin District, Jinan 250101, China
Interests: wireless channel measurements; modeling for 6G high-mobility scenarios
Special Issues, Collections and Topics in MDPI journals
Dr. Ji Bian

E-Mail Website
Guest Editor
1. School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China
2. Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Jinan 250014, China
Interests: channel modeling; machine learning aided wireless communication; and data mining

Special Issue Information

Dear Colleagues,

Research on sixth-generation (6G) wireless communication networks began in 2020. In June 2023, the international telecommunication union (ITU) presented some usage scenarios, including immersive communication, massive communication, hyper reliable and low-latency communication, ubiquitous connectivity, integrated AI and communication, and integrated sensing and communication (ISAC). Various potential key technologies have been proposed to enhance the capabilities of 6G, such as space–air–ground–sea integrated networks, THz and visible light communication (VLC), reconfigurable intelligent surface (RIS), ISAC, AI, and semantic communication. This Special Issue aims to receive papers covering the latest 6G developments from theory to application. The topics of interest include, but are not limited to, the following:

  • High-frequency mmWave/THz/VLC band communications;
  • RIS, ISAC, AI, and semantic communication;
  • Advanced antenna technologies like massive MIMO and holographic MIMO;
  • Channel measurements and modeling;
  • Channel estimation and tracking;
  • 6G communication system performance evaluation.

Dr. Jie Huang
Dr. Yu Liu
Dr. Ji Bian
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

  • 6G
  • ISAC
  • RIS
  • AI
  • THz
  • VLC
  • semantic communication

Published Papers (1 paper)

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Research

23 pages, 696 KiB  
Article
Optimization of Energy Efficiency for Federated Learning over Unmanned Aerial Vehicle Communication Networks
by Xuan-Toan Dang and Oh-Soon Shin
Electronics 2024, 13(10), 1827; https://doi.org/10.3390/electronics13101827 - 8 May 2024
Viewed by 360
Abstract
Federated learning (FL) is considered a promising machine learning technique that has attracted increasing attention in recent years. Instead of centralizing data in one location for training a global model, FL allows the model training to occur on user devices, such as smartphones, [...] Read more.
Federated learning (FL) is considered a promising machine learning technique that has attracted increasing attention in recent years. Instead of centralizing data in one location for training a global model, FL allows the model training to occur on user devices, such as smartphones, IoT devices, or local servers, thereby respecting data privacy and security. However, implementing FL in wireless communication faces a significant challenge due to the inherent unpredictability and constant fluctuations in channel characteristics. A key challenge in implementing FL over wireless communication lies in optimizing energy efficiency. This holds significant importance, especially considering user devices with restricted power resources. On the other hand, unmanned aerial vehicle (UAV) technologies present a cost-effective solution owing to flexibility and mobility compared to terrestrial base stations. Consequently, the deployment of UAV communication in FL is viewed as a potential approach to deal with the energy efficiency challenge. In this paper, we address the problem of minimizing the total energy consumption of all user equipment (UE) during the training phase of FL over a UAV communication network. Our proposed system facilitates UE to operate concurrently at the same time and frequency, thereby improving bandwidth utilization efficiently. In this paper, we address the problem of minimizing the total energy consumption during the training phase of FL over a UAV communication network. To deal with the proposed nonconvex problem, we propose a novel alternating optimization approach by dividing the problem into two suboptimal problems. We then develop iterative algorithms based on the inner approximation method, yielding at least one locally optimal solution. The numerical results demonstrate the superiority of the proposed algorithm in solving the proposed problem compared to other benchmark algorithms, particularly in determining the optimal trajectory of the UAVs. In addition, we conduct extensive experiments to evaluate how different parameter settings affect performance after implementing the proposed optimization approaches for deploying FL within the UAV communication system. These analyses yield valuable insights into the comparative effectiveness of the proposed optimization algorithms concerning overall energy consumption reduction. Full article
(This article belongs to the Special Issue Sixth-Generation Wireless Communications: Theory and Applications)
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