Muhammad Asim Ejaz

According to our database, Muhammad Asim Ejaz authored at least 3 papers in 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach.

Muhammad Asim Ejaz, Guowei Wu, Adeel Ahmed, Saman Iftikhar, Shaikhan Bawazeer

Sensors, September, 2024

Dynamic and efficient resource allocation for 5G end-to-end network slicing: A multi-agent deep reinforcement learning approach.

Muhammad Asim Ejaz, Guowei Wu, Tahir Iqbal

Int. J. Commun. Syst., 2024

Deep Reinforcement Learning Approach for Enhancing Profitability in Mobile Edge Computing.

Muhammad Asim Ejaz, Guowei Wu, Abid Sultan, Tahir Iqbal

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024