15 papers
Epistemic Uncertainty for Test-Time Discovery
Kainat Riaz, Muhammad Ahmed Mohsin, Ahsan Bilal +5
Automated scientific discovery using large language models relies on identifying genuinely novel solutions. Standard reinforcement learning penalizes high-variance mutations, which…
Canonical Optimization for MIMO MAC Design
Muhammad Umer, Muhammad Ahmed Mohsin, Ahsan Bilal +1
Resource allocation in the multiple-input multiple-output (MIMO) multiple access channel (MAC) is a fundamental problem in multiuser communications, yet it is increasingly treated…
Neural Gaussian Radio Fields for Channel Estimation
Muhammad Umer, Muhammad Ahmed Mohsin, Ahsan Bilal +1
Accurate channel state information (CSI) is a critical bottleneck in modern wireless networks, with pilot overhead consuming 11\% to 21\% of transmission bandwidth and feedback del…
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…
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…
Retrieval Augmented Generation with Multi-Modal LLM Framework for Wireless Environments
Muhammad Ahmed Mohsin, Ahsan Bilal, Sagnik Bhattacharya +1
Future wireless networks aim to deliver high data rates and lower power consumption while ensuring seamless connectivity, necessitating robust optimization. Large language models (…