most citedRIS-Assisted Aerial Non-Terrestrial Networks: An Intelligent Synergy with Deep Reinforcement Learning

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DC2025

Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks

Muhammad Ahmed Mohsin, Muhammad Umer, Amara Umar +2

The rapid growth of computation-intensive applications like augmented reality, autonomous driving, remote healthcare, and smart cities has exposed the limitations of traditional te…

cs.IT2025

Task and Perception-aware Distributed Source Coding for Correlated Speech under Bandwidth-constrained Channels

Sagnik Bhattacharya, Muhammad Ahmed Mohsin, Ahsan Bilal +1

Emerging wireless AR/VR applications require real-time transmission of correlated high-fidelity speech from multiple resource-constrained devices over unreliable, bandwidth-limited…

eess.SP2025

Optimum Power Allocation for Low Rank Wi-Fi Channels: A Comparison with Deep RL Framework

Muhammad Ahmed Mohsin, Sagnik Bhattacharya, Kamyar Rajabalifardi +2

Upcoming Augmented Reality (AR) and Virtual Reality (VR) systems require high data rates ( 500 Mbps) and low power consumption for seamless experience. With an increasing num…

eess.SP2025

Optimum Power-Subcarrier Allocation and Time-Sharing in Multicarrier NOMA Uplink

Sagnik Bhattacharya, Kamyar Rajabalifardi, Muhammad Ahmed Mohsin +1

Currently used resource allocation methods for uplink multicarrier non-orthogonal multiple access (MC-NOMA) systems have multiple shortcomings. Current approaches either allocate t…

cs.CV2025

Successive Interference Cancellation-aided Diffusion Models for Joint Channel Estimation and Data Detection in Low Rank Channel Scenarios

Sagnik Bhattacharya, Muhammad Ahmed Mohsin, Kamyar Rajabalifardi +1

This paper proposes a novel joint channel-estimation and source-detection algorithm using successive interference cancellation (SIC)-aided generative score-based diffusion models.…

eess.SP2025

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…