5 citations · 6 across the 3 of their papers we have counts for
10 papers · 1 filter
Uplink Performance Analysis of Cell-Free mMIMO Systems under Channel Aging
Ribhu Chopra, Chandra R. Murthy, Anastasios K. Papazafeiropoulos
In this paper, we investigate the impact of channel aging on the uplink performance of a cell-free~(CF) massive multiple-input multiple-output (mMIMO) system with a minimum mean sq…
Phase Transitions for Support Recovery from Gaussian Linear Measurements
Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi
We study the problem of recovering the common -sized support of a set of samples of dimension , using noisy linear measurements per sample. Most prior work has focuse…
Sample-Measurement Tradeoff in Support Recovery under a Subgaussian Prior
Lekshmi Ramesh, Chandra R Murthy, Himanshu Tyagi
Data samples from with a common support of size are accessed through random linear projections (measurements) per sample. It is well-known that roughly …
Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery
Rubin Jose Peter, Chandra R. Murthy
In this paper, we present a computationally efficient sparse signal recovery scheme using Deep Neural Networks (DNN). The architecture of the introduced neural network is inspired…
Machine Learning in the Air
Deniz Gunduz, Paul de Kerret, Nicholas D. Sidiropoulos +3
Thanks to the recent advances in processing speed and data acquisition and storage, machine learning (ML) is penetrating every facet of our lives, and transforming research in many…
On Distributed Power Control for Uncoordinated Dual Energy Harvesting Links: Performance Bounds and Near-Optimal Policies
Mohit K. Sharma, Chandra R. Murthy, Rahul Vaze
In this paper, we consider a point-to-point link between an energy harvesting transmitter and receiver, where neither node has the information about the battery state or energy ava…