Abstract: This work proposes a quantum-aided deep reinforcement learning (DRL) framework designed to enhance the accuracy of direction-of-arrival (DoA) estimation and the efficiency of computational ...
2025-07-17 QTCAJOSA: Low-Complexity Joint Offloading and Subchannel Allocation for NTN-Enabled IoMT Alejandro Flores C. et.al. 2507.13242 null 2025-07-17 Energy-Efficient RSMA-enabled Low-altitude MEC ...
In unmanned aerial vehicle (UAV) networks, efficient and reliable cooperation among UAVs is crucial for enabling UAV-assisted internet of things (IoT) services. In this paper, we consider a ...
Artificial intelligence (AI) is rapidly transforming learning through unparalleled levels of personalization, efficiency, and scalability (Govea et al., 2023; Mahmoud and Sørensen, 2024). AI-based ...
Many of our academics speak to the media as experts in their field of research. If you are a journalist, please contact the University’s Media and PR Team: ...
With the advancement of technology and the continuous innovation of applications, low-latency applications such as drones, online games and virtual reality are gradually becoming popular demands in ...
This repository contains the Python code for reproducing the decentralized QECO (QoE-Oriented Computation Offloading) algorithm, designed for Mobile Edge Computing (MEC) systems. In the realm of ...
Abstract: Timely and appropriate task offloading is difficult to achieve due to strong coupling between tasks, uncertainty of computing resources and the dynamics of environment. In this article, a ...