1 citations · 3 across the 7 of their papers we have counts for
7 papers
System-Aware Adaptive CSI Feedback via RL-Guided Autoencoder Switching in Multi-User MIMO System
Maryam Ansarifard, Mohit K. Sharma, George Exarchakos +1
This paper proposes a system-aware adaptive channel state information (CSI) feedback framework for massive multiple-input multiple-output (mMIMO) systems, aiming to dynamically opt…
Transformer Actor-Critic for Efficient Freshness-Aware Resource Allocation
Maryam Ansarifard, Mohit K. Sharma, Kishor C. Joshi +1
Emerging applications such as autonomous driving and industrial automation demand ultra-reliable and low-latency communication (URLLC), where maintaining fresh and timely informati…
CSI Compression Beyond Latents: End-to-End Hybrid Attention-CNN Networks with Entropy Regularization
Maryam Ansarifard, Mostafa Rahmani, Mohit K. Sharma +3
Massive MIMO systems rely on accurate Channel State Information (CSI) feedback to enable high-gain beam-forming. However, the feedback overhead scales linearly with the number of a…
UAV Immersive Video Streaming: A Comprehensive Survey, Benchmarking, and Open Challenges
Mohit K. Sharma, Chen-Feng Liu, Ibrahim Farhat +3
Over the past decade, the utilization of UAVs has witnessed significant growth, owing to their agility, rapid deployment, and maneuverability. In particular, the use of UAV-mounted…
Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach
Mohit K. Sharma, Alessio Zappone, Mohamad Assaad +2
In this paper, we develop a multi-agent reinforcement learning (MARL) framework to obtain online power control policies for a large energy harvesting (EH) multiple access channel,…
Deep Learning Based Online Power Control for Large Energy Harvesting Networks
Mohit K Sharma, Alessio Zappone, Merouane Debbah +1
In this paper, we propose a deep learning based approach to design online power control policies for large EH networks, which are often intractable stochastic control problems. In…