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20142026
most citedSpectrum Access In Cognitive Radio Using A Two Stage Reinforcement Learning Approach

106 citations · 310 across the 82 of their papers we have counts for

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Showing 2022Show all

11 papers · 1 filter

quant-ph2022★ 7 cited

Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography

Siva Shanmugam, Sheetal Kalyani

Quantum state tomography aims to estimate the state of a quantum mechanical system which is described by a trace one, Hermitian positive semidefinite complex matrix, given a set of…

cs.IT2022

A DRL Approach for RIS-Assisted Full-Duplex UL and DL Transmission: Beamforming, Phase Shift and Power Optimization

Nancy Nayak, Sheetal Kalyani, Himal A. Suraweera

We propose a deep reinforcement learning (DRL) approach for a full-duplex (FD) transmission that predicts the phase shifts of the reconfigurable intelligent surface (RIS), base sta…

cs.CR2022

Grafting Laplace and Gaussian distributions: A new noise mechanism for differential privacy

Gokularam Muthukrishnan, Sheetal Kalyani

The framework of differential privacy protects an individual's privacy while publishing query responses on congregated data. In this work, a new noise addition mechanism for differ…

cs.IT2022★ 1 cited

Instantaneous Channel Oblivious Phase Shift Design for an IRS-Assisted SIMO System with Quantized Phase Shift

Shashank Shekhar, Athira Subhash, Tejesh Kella +1

We design the phase shifts of an intelligent reflecting surface (IRS)-assisted single-input-multiple-output communication system to minimize the outage probability (OP) and to maxi…

cs.IT2022★ 2 cited

Optimal phase shift design for fair allocation in RIS aided uplink network using statistical CSI

Athira Subhash, Abla Kammoun, Ahmed Elzanaty +3

Reconfigurable intelligent surfaces (RIS) can be crucial in next-generation communication systems. However, designing the {RIS} phases according to the instantaneous channel state…

cs.IT2022

SINR Analysis of an IRS Assisted MU-MISO System

Lakshmi Jayalal, Shashank Shekhar, Athira Subhash +1

In this work, we characterize the outage probability (OP) of an intelligent reflecting surface (IRS) assisted multi-user multiple-input-single-output (MU-MISO) communication system…

cs.IT2022★ 3 cited

Max-Min Data Rate Optimization for RIS-aided Uplink Communications with Green Constraints

Athira Subhash, Abla Kammoun, Ahmed Elzanaty +3

Smart radio environments aided by reconfigurable intelligent reflecting surfaces (RIS) have attracted much research attention recently. We propose a joint optimization strategy for…

cs.CR2022

Introducing the Huber mechanism for differentially private low-rank matrix completion

R Adithya Gowtham, Gokularam M, Thulasi Tholeti +1

Performing low-rank matrix completion with sensitive user data calls for privacy-preserving approaches. In this work, we propose a novel noise addition mechanism for preserving dif…

cs.LG2022★ 1 cited

The robust way to stack and bag: the local Lipschitz way

Thulasi Tholeti, Sheetal Kalyani

Recent research has established that the local Lipschitz constant of a neural network directly influences its adversarial robustness. We exploit this relationship to construct an e…

cs.LG2022

Rotate the ReLU to implicitly sparsify deep networks

Nancy Nayak, Sheetal Kalyani

In the era of Deep Neural Network based solutions for a variety of real-life tasks, having a compact and energy-efficient deployable model has become fairly important. Most of the…

cs.IT2022

A New Expression for the Product of Two Shadowed Random Variables and its Application to Wireless Communication

Shashank Shekhar, Sheetal Kalyani

In this work, the product of two independent and non-identically distributed (i.n.i.d) shadowed random variables is studied. We derive the series expression for the probabil…