[hpc-announce] Special Issue on "Online Learning Aided Solutions for 6G Wireless Networks"

[Mostafa Fouda]

CALL FOR PAPERS

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MDPI Electronics Special Issue on "Online Learning Aided Solutions for 6G Wireless Networks"
https://www.mdpi.com/journal/electronics/special_issues/6G_Wireless_Networks
Deadline for manuscript submissions: 15 November 2022.
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Dear Colleagues,

This Special Issue (SI) is soliciting original technical papers addressing the  main research challenges in the direction of applying online learning aided solutions for handling future 6G networks, including, but not being limited to the following topics:

+ Online learning-based solutions for mmWave/THz channel estimation.
+ Online learning-based solutions for UAV -based wireless communications.
+ Online learning-based solutions for device-to-device (D2D) communications.
+ Online learning-based solutions for cognitive radio systems.
+ Online learning-based solutions for 6G enhanced IoT networks.
+ Online learning-based solutions for wireless power transfer systems.
+ Online learning-based solutions for mobile/edge computing.
+ Online learning-based solutions for V2V, V2I, and V2X scenarios.
+ Online learning-based solutions for RIS-aided wireless communication networks.
+ Online-based wireless resource allocation and mobility management in 6G networks.
+ Online aided energy harvesting, power control, and wireless power transfer channel estimation and prediction solutions.
+ Self-learning-based multi-access and modulation (NOMA, OTFS, SCMA, etc.).
+ Online learning solutions for 6G ultra-high reliability and low-latency communications (URLLC).
+ Online learning-based solutions for Interference avoidance, management, and cancellation techniques in 6G networks.
+ Self-learning aided new communications and network technologies in 6G, such as visible light communication (VLC), optical networks, and aerial access networks.
+ Online learning solutions for efficient computation offloading technologies in 6G networks.
+ Online learning-based solutions for wireless spectrum sensing, localization, and signal processing in 6G networks.
+ Communication-efficient online learning techniques (such as transfer learning, federated learning, online un/supervised learning, reinforcement learning, and meta-learning).
+ Online enhanced security and privacy issues in 6G communication networks.

We are looking forward to your submissions!
Guest Editors
Dr. Sherief Hashima, Riken-Advanced Intelligence Project, Japan
Dr. Ehab Mahmoud Mohamed, Prince Sattam Bin Abdulaziz University, Saudi Arabia
Dr. Mostafa Fouda, Idaho State University, USA