3 papers
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.SP2024
Optimal Power Allocation and Time Sharing in Low Rank Multi-carrier Wi-Fi Channels
Sagnik Bhattacharya, Kamyar Rajabalifardi, Muhammad Ahmed Mohsin +2
The ever-evolving landscape of distributed wireless systems, e.g. multi-user AR/VR systems, demands high data rates (up to 500 Mbps per user) and low power consumption. With increa…
eess.SP2021
A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem
Rohan R. Pote, Bhaskar D. Rao
Sparse signal recovery algorithms like sparse Bayesian learning work well but the complexity quickly grows when tackling higher dimensional parametric dictionaries. In this work we…