5 papers · 2 filters
On Energy-Efficient Passive Beamforming Design of RIS-Assisted CoMP-NOMA Networks
Muhammad Umer, Muhammad Ahmed Mohsin, Aamir Mahmood +4
This paper investigates the synergistic potential of reconfigurable intelligent surfaces (RIS) and non-orthogonal multiple access (NOMA) to enhance the energy efficiency and perfor…
Continual Learning for Wireless Channel Prediction
Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal +2
Modern 5G/6G deployments routinely face cross-configuration handovers--users traversing cells with different antenna layouts, carrier frequencies, and scattering statistics--which…
Resource Allocation for RIS-Assisted CoMP-NOMA Networks using Reinforcement Learning
Muhammad Umer, Muhammad Ahmed Mohsin, Huma Ghafoor +1
This thesis delves into the forefront of wireless communication by exploring the synergistic integration of three transformative technologies: STAR-RIS, CoMP, and NOMA. Driven by t…
Intelligent Spectrum Sharing in Integrated TN-NTNs: A Hierarchical Deep Reinforcement Learning Approach
Muhammad Umer, Muhammad Ahmed Mohsin, Ali Arshad Nasir +2
Integrating non-terrestrial networks (NTNs) with terrestrial networks (TNs) is key to enhancing coverage, capacity, and reliability in future wireless communications. However, the…
Hierarchical Deep Reinforcement Learning for Adaptive Resource Management in Integrated Terrestrial and Non-Terrestrial Networks
Muhammad Ahmed Mohsin, Hassan Rizwan, Muhammad Umer +3
Efficient spectrum allocation has become crucial as the surge in wireless-connected devices demands seamless support for more users and applications, a trend expected to grow with…