collaborators

5 papers

cs.LG2026

Quantum-Inspired Reinforcement Learning for Secure and Sustainable AIoT-Driven Supply Chain Systems

Muhammad Bilal Akram Dastagir, Omer Tariq, Shahid Mumtaz +2

Modern supply chains must balance high-speed logistics with environmental impact and security constraints, prompting a surge of interest in AI-enabled Internet of Things (AIoT) sol…

cs.AI2026

Wireless Power Transfer and Intent-Driven Network Optimization in AAVs-assisted IoT for 6G Sustainable Connectivity

Xiaoming He, Gaofeng Wang, Huajun Cui +2

Autonomous Aerial Vehicle (AAV)-assisted Internet of Things (IoT) represents a collaborative architecture in which AAV allocate resources over 6G links to jointly enhance user-inte…

cs.IT2025

A Deep Transfer Learning-Based Low-overhead Beam Prediction in Vehicle Communications

Zhiqiang Xiao, Yuwen Cao, Mondher Bouazizi +2

Existing transfer learning-based beam prediction approaches primarily rely on simple fine-tuning. When there is a significant difference in data distribution between the target dom…

quant-ph2025

Quantum Machine Learning for Energy-Efficient 5G-Enabled IoMT Healthcare Systems: Enhancing Data Security and Processing

Muhammad Zeeshan Riaz, Bikash K. Behera, Shahid Mumtaz +2

Energy-efficient healthcare systems are becoming increasingly critical for Industry 5.0 as the Internet of Medical Things (IoMT) expands, particularly with the integration of 5G te…

eess.SP2025

UAV-Enabled Joint Sensing, Communication, Powering and Backhaul Transmission in Maritime Monitoring Networks

Bohan Li, Jiahao Liu, Yujun Liang +6

This paper addresses the challenge of energy-constrained maritime monitoring networks by proposing an unmanned aerial vehicle (UAV)-enabled integrated sensing, communication, power…