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Recent Advances in Signal Processing and Wireless Communications Towards 6G
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Recent Advances in Signal Processing and Wireless Communications Towards 6G

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

Deadline for manuscript submissions: 20 January 2025 | Viewed by 2436

Special Issue Editors

Dr. Di Zhang

E-Mail Website
Guest Editor
School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: wireless communications; signal processing; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Dr. Meng Hua

E-Mail Website
Guest Editor
Department of Electrical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong 999077, China
Interests: communication for machine learning; integrated sensing and communication; RIS-assisted wireless communication; air–ground integrated networks
Dr. Yanqun Tang

E-Mail Website
Guest Editor
School of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen 528406, China
Interests: multifunction-integrated signal design; signal processing; space–ground integrated communications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As of June 2023, ITU-R WP5D has agreed on the six major use scenarios of 6G: immersive communication, integrated AI and communication, hyper reliable and low-latency communication, ubiquitous connectivity, massive communication, integrated sensing and communication (ISAC). As an improved version of 5G, 6G aims to provide global coverage, 10−5~10−7 reliability, less-than-1 ms latency, 106~108 connection density, 500~1000 km/h mobility with a much higher peak rate and secure connection. Actually, 6G aims to create a digitally connected, sustainable and smart world that benefits all. Integrated sensing and communication, artificial intelligence (AI)-based wireless communication and network, space–ground-integrated network, short packet communication and reduced capacity are some emerging technologies for 6G. Unmanned aerial vehicles (UAVs), cellular vehicle-to-everything (C-V2X), Internet of Things (IoT), satellite–direct communication, smart Industry and smart cities are some representative applications.

This Special Issue therefore aims to showcase the recent advances in signal processing and wireless communications—from technical aspects to application aspects—as a result of new 6G research. Potential topics include but are not limited to:

  • Advanced communication architecture design;
  • Massive and holographic MIMO;
  • Reconfigurable intelligent surfaces;
  • Finite block-length/short packet-based communication and networking;
  • ISAC;
  • Information-centric networking;
  • Channel measurements and modeling;
  • Licensed and unlicensed frequency allocation and usage;
  • Intelligent communication and networking;
  • UAV communication and networking;
  • C-V2X communication and networking;
  • Satellite communication and networking;
  • Internet of Things and applications.

Dr. Di Zhang
Dr. Meng Hua
Dr. Yanqun Tang
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

  • massive MIMO and helographic MIMO
  • ISAC communications and networks
  • finite block-length/short packet communications and networks
  • channel measurement/modeling and frequency usage
  • AI-based communications and networks
  • 6G communications and networks
  • 6G applications
  • 6G standardization

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Published Papers (2 papers)

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Research

20 pages, 799 KiB  
Article
Adaptable Hybrid Beamforming with Subset Optimization Algorithm for Multi-User Massive MIMO Systems
by Ziyang Huang, Longcheng Yang, Weiqiang Tan and Han Wang
Sensors 2024, 24(13), 4189; https://doi.org/10.3390/s24134189 - 27 Jun 2024
Viewed by 716
Abstract
The exploiting of hybrid beamforming (HBF) in massive multiple-input multiple-output (MIMO) systems can enhance the system’s sum rate while reducing power consumption and hardware costs. However, designing an effective hybrid beamformer is challenging, and interference between multiple users can negatively impact system performance. [...] Read more.
The exploiting of hybrid beamforming (HBF) in massive multiple-input multiple-output (MIMO) systems can enhance the system’s sum rate while reducing power consumption and hardware costs. However, designing an effective hybrid beamformer is challenging, and interference between multiple users can negatively impact system performance. In this paper, we develop a scheme called Subset Optimization Algorithm-Hybrid Beamforming (SOA-HBF) that is based on the subset optimization algorithm (SOA), which effectively reduces inter-user interference by dividing the users set into subsets while optimizing the hybrid beamformer to maximize system capacity. To validate the proposed scheme, we constructed a system model that incorporates an intelligent reflecting surface (IRS) to address obstacles between the base station (BS) and the users set, enabling efficient wireless communication. Simulation results indicate that the proposed scheme outperforms the baseline by approximately 8.1% to 59.1% under identical system settings. Furthermore, the proposed scheme was applied to a classical BS–users set link without obstacles; the results show its effectiveness in both mmWave massive MIMO and IRS-assisted fully connected hybrid beamforming systems. Full article
(This article belongs to the Special Issue Recent Advances in Signal Processing and Wireless Communications Towards 6G)
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16 pages, 1365 KiB  
Article
A Fairness-Enhanced Federated Learning Scheduling Mechanism for UAV-Assisted Emergency Communication
by Chun Zhu, Ying Shi, Haitao Zhao, Keqi Chen, Tianyu Zhang and Chongyu Bao
Sensors 2024, 24(5), 1599; https://doi.org/10.3390/s24051599 - 29 Feb 2024
Cited by 2 | Viewed by 1150
Abstract
As the frequency of natural disasters increases, the study of emergency communication becomes increasingly important. The use of federated learning (FL) in this scenario can facilitate communication collaboration between devices while protecting privacy, greatly improving system performance. Considering the complex geographic environment, the [...] Read more.
As the frequency of natural disasters increases, the study of emergency communication becomes increasingly important. The use of federated learning (FL) in this scenario can facilitate communication collaboration between devices while protecting privacy, greatly improving system performance. Considering the complex geographic environment, the flexible mobility and large communication radius of unmanned aerial vehicles (UAVs) make them ideal auxiliary devices for wireless communication. Using the UAV as a mobile base station can better provide stable communication signals. However, the number of ground-based IoT terminals is large and closely distributed, so if all of them transmit data to the UAV, the UAV will not be able to take on all of the computation and communication tasks because of its limited energy. In addition, there is competition for spectrum resources among many terrestrial devices, and all devices transmitting data will bring about an extreme shortage of resources, which will lead to the degradation of model performance. This will bring indelible damage to the rescue of the disaster area and greatly threaten the life safety of the vulnerable and injured. Therefore, we use user scheduling to select some terrestrial devices to participate in the FL process. In order to avoid the resource waste generated by the terrestrial device resource prediction, we use the multi-armed bandit (MAB) algorithm for equipment evaluation. Considering the fairness issue of selection, we try to replace the single criterion with multiple criteria, using model freshness and energy consumption weighting as reward functions. The state of the art of our approach is demonstrated by simulations on the datasets. Full article
(This article belongs to the Special Issue Recent Advances in Signal Processing and Wireless Communications Towards 6G)
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