Call for Papers

Deep Learning (DL), including deep supervised learning, deep unsupervised learning, and deep reinforcement learning, has been a key enabler in future wireless communications (FWCs). DL techniques can solve a broad range of problems like decision making, optimization, and prediction in FWCs. without the access of mathematical formulations in an efficient and effective way, which is helpful for accelerating the design and deployment of functionality of wireless communications, especially for situations when mathematical models fail to properly formulate the considered problems. However, DL for wireless communications is still in its infancy, and its potentials and advantages compared with the well-established mathematical models are still not fully investigated and justified. Moreover, the application of DL techniques in wireless communications poses a series of problems like data communication, model design, model training, model deployment and security protection, which need to be carefully addressed. Further, the newly emerging FWC scenarios, such as Extreme Ultra Reliable Low Latency Communications (EURLLC), massive Machine Type Communications (mMTC), Unmanned Aerial Vehicle (UAV), Industrial Internet-of-Things (IIoT), and joint Communication and Sensing (JCS), have brought new challenges and research opportunities for the design and optimization of the functional modules in FWCs, and how to develop DL based solutions to meet the stringent performance requirements on delay, reliability, and accuracy of these scenarios is awaiting us to explore.

In this Special Issue, we solicit original and high-quality papers in the field of DL driven FWCs, potential topics may include but are not limited to:

• DL solutions for physical layer functionality, including coding/decoding, channel modelling, beamforming, positioning, etc.
• DL solutions for medium access control layer functionality, including resource allocation, user association, mobility management, etc.
• DL for core network management in FWCs, including network slicing, virtualization, service deployment/migration, etc.
• DL for emerging scenarios in FWCs, including EURLLC, mMTC, UAV, IIoT, JCS, etc.
• DL for fog/cloud computing in FWCs
• DL for mmWave and Terahertz communications
• DL for multimedia caching and transmission in wireless networks
• Security and privacy for DL-driven wireless communications
• Testbed, experimental evaluations, and real-world applications of DL techniques in wireless communications

Submission Guidelines

Prospective authors should submit their manuscripts following the IEEE OJ-COMMS guidelines. Authors should submit a manuscript to Manuscript Central.

Lead Guest Editor

Haijun Zhang, University of Science and Technology Beijing, China

Guest Editors

Wenyu Zhang, University of Science and Technology Beijing, China
Yongxu Zhu, London South Bank University, UK
Anwer Al-Dulaimi, EXFO, Canada
Merouane Debbah, Technology Innovation Institute, Abu Dhabi

For inquiries regarding this Special Issue, please contact the Lead Guest Editor.