Big Data Technology in Wireless Networks

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

Deadline for manuscript submissions: closed (15 October 2023) | Viewed by 274

Special Issue Editors


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Guest Editor
School of Information and Communications Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
Interests: 5G/B5G/6G; wireless networks; cyber-physical systems; blockchain; physical-layer security; Internet-of-Things
Special Issues, Collections and Topics in MDPI journals
School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
Interests: physical-layer security; cognitive radio networks; marine communications; machine learning; resource allocation
Special Issues, Collections and Topics in MDPI journals
Department of Computer Science, School of Engineering and Computing Sciences, New York Institute of Technology, New York, NY 10023, USA
Interests: security and trust; mobile and wireless systems; IoT; cyber physical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

When evolving to 6G networks, mobile wireless networking will transform from “connecting things” to “connecting intelligence”. To adapt to this tread, wireless devices need to not only be able to conduct efficient, robust communications but also complete complex services for smart applications. However, current wireless networks are trapped in delivering the massive number of signals while assuring their accuracy, but the limited resources block this evolution. Big data technology is a persistently developing paradigm to process the massive number of signals, which motivates the network’s functions shifting from “transmit every bit” to “what and how to transmit”. In particular, big data technology will allow intelligent devices to preprocess information according to the environment and service requirements and forward critical information more efficiently and accurately, which can then support complicated artificial intelligence tasks such as virtual reality, augmented reality, autonomous driving, etc. However, there are still many fundamental problems that need to be solved to accommodate big data processing and communications towards a 6G network. 

Thus, this Special Issue will seek to bring together researchers to promote research and development efforts as well as results aiming to overcome the major challenges that pertain to related cutting-edge research topics. Suitable topics for this issue include but are not limited to the following areas:

  • Big data processing and transmissions over wireless networks;
  • Machine learning in big data communications;
  • Big-data-based optimization in 6G networks;
  • Big data for intelligent wireless communications;
  • Big-data-aided high-frequency band communications in wireless networks;
  • Big-data-aided design at PHY, MAC, network, and transport layers;
  • Big data for the IoT;
  • Big data for optical wireless communications;
  • Big data for satellite and UAV-enabled wireless communications;
  • Information theory of big data communications;
  • Coding and signal processing for big data communications;
  • Computation and communications for big data communications;
  • Network architectures and protocols for big data communications;
  • Big data for security and privacy protection in wireless networks;
  • Experiments and testbeds on big data communications.

Prof. Dr. Qinghe Du
Dr. Dawei Wang
Dr. Wenjia Li
Guest Editors

Manuscript Submission Information

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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

  • big data
  • wireless networks
  • 6G
  • intelligence computing
  • smart networking

Published Papers

There is no accepted submissions to this special issue at this moment.
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