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02/07/2023
Differential Privacy with Higher Utility through Non-identical Additive Noise
Differential privacy is typically ensured by perturbation with additive ...
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12/28/2022
A DRL Approach for RIS-Assisted Full-Duplex UL and DL Transmission: Beamforming, Phase Shift and Power Optimization
In this work, a two-stage deep reinforcement learning (DRL) approach is ...
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12/19/2022
Grafting Laplace and Gaussian distributions: A new noise mechanism for differential privacy
The framework of Differential privacy protects an individual's privacy w...
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12/17/2022
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography
Quantum state tomography aims to estimate the state of a quantum mechani...
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11/07/2022
Instantaneous Channel Oblivious Phase Shift Design for an IRS-Assisted SIMO System with Quantized Phase Shift
We design the phase shifts of an intelligent reflecting surface (IRS)-as...
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09/19/2022
Optimal phase shift design for fair allocation in RIS aided uplink network using statistical CSI
Reconfigurable intelligent surface (RIS) can be crucial in next-generati...
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08/07/2022
SINR Analysis of an IRS Assisted MU-MISO System
In this work, we characterize the outage probability (OP) of an intellig...
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07/30/2022
Max-Min Data Rate Optimization for RIS-aided Uplink Communications with Green Constraints
Smart radio environments aided by reconfigurable intelligent reflecting ...
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06/16/2022
Introducing the Huber mechanism for differentially private low-rank matrix completion
Performing low-rank matrix completion with sensitive user data calls for...
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06/01/2022
The robust way to stack and bag: the local Lipschitz way
Recent research has established that the local Lipschitz constant of a n...
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06/01/2022
Rotate the ReLU to implicitly sparsify deep networks
In the era of Deep Neural Network based solutions for a variety of real-...
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03/29/2022
A New Expression for the Product of Two κ-μ Shadowed Random Variables and its Application to Wireless Communication
In this work, the product of two independent and non-identically distrib...
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12/16/2021
Joint Power-control and Antenna Selection in User-Centric Cell-Free Systems with Mixed Resolution ADC
In this paper, we propose a scheme for the joint optimization of the use...
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10/28/2021
How to boost autoencoders?
Autoencoders are a category of neural networks with applications in nume...
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10/27/2021
Binarized ResNet: Enabling Automatic Modulation Classification at the resource-constrained Edge
In this paper, we propose a ResNet based neural architecture to solve th...
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10/15/2021
BayesAoA: A Bayesian method for Computation Efficient Angle of Arrival Estimation
The angle of Arrival (AoA) estimation is of great interest in modern com...
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06/18/2021
Realizing Neural Decoder at the Edge with Ensembled BNN
In this work, we propose extreme compression techniques like binarizatio...
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05/14/2021
Deep learned SVT: Unrolling singular value thresholding to obtain better MSE
Affine rank minimization problem is the generalized version of low rank ...
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03/24/2021
Outage Probability Expressions for an IRS-Assisted System with and without Source-Destination Link for the Case of Quantized Phase Shifts
In this work, we study the outage probability (OP) at the destination of...
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01/19/2021
Outage Probability of Uplink Cell-Free Massive MIMO Network with Imperfect CSI Using Dimension-Reduction Method
In this paper, approximate outage probability (OP) expressions are deriv...
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01/18/2021
On the Asymptotic Performance Analysis of the k-th Best Link Selection over Non-identical Non-central Chi-square Fading Channels
This paper derives the asymptotic k-th maximum order statistics of a seq...
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01/18/2021
On the Differentially Private Nature of Perturbed Gradient Descent
We consider the problem of empirical risk minimization given a database,...
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06/13/2020
Understanding Learning Dynamics of Binary Neural Networks via Information Bottleneck
Compact neural networks are essential for affordable and power efficient...
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04/11/2020
Cooperative relaying with energy harvesting relays : Asymptotic analysis using extreme value theory for non-identically distributed RVs
This paper derives the limiting distribution of the maximum end-to-end s...
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03/22/2020
Tune smarter not harder: A principled approach to tuning learning rates for shallow nets
Effective hyper-parameter tuning is essential to guarantee the performan...
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03/20/2020
What is the optimal depth for deep-unfolding architectures at deployment?
Recently, many iterative algorithms proposed for various applications su...
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01/25/2020
Deep Reinforcement Learning based Blind mmWave MIMO Beam Alignment
Directional beamforming is a crucial component for realizing robust wire...
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12/18/2019
Generalized Residual Ratio Thresholding
Simultaneous orthogonal matching pursuit (SOMP) and block OMP (BOMP) are...
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10/13/2019
Beyond 5G: Leveraging Cell Free TDD Massive MIMO using Cascaded Deep learning
Cell Free Massive MIMO is a solution for improving the spectral efficien...
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09/10/2019
Subspace clustering without knowing the number of clusters: A parameter free approach
Subspace clustering, the task of clustering high dimensional data when t...
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07/16/2019
Leveraging online learning for CSS in frugal IoT network
We present a novel method for centralized collaborative spectrum sensing...
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06/24/2019
Blind decoding in α-Stable noise: An online learning approach
A novel method for performing error control coding in Symmetric α-Stable...
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06/03/2019
Transmit Power Policy and Ergodic Multicast Rate Analysis of Cognitive Radio Networks in Generalized Fading
This paper determines the optimum secondary user power allocation and er...
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05/28/2019
Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis
Convergence of the gradient descent algorithm has been attracting renewe...
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05/09/2019
Joint power and resource allocation of D2D communication with low-resolution ADC
This paper considers the joint power control and resource allocation for...
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04/18/2019
Design of Communication Systems using Deep Learning: A Variational Inference Perspective
An approach to design end to end communication system using deep learnin...
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11/26/2018
EVM analysis of an Interference Limited SIMO-SC System With Independent and Correlated Channels
In this paper, we derive the error vector magnitude (EVM) in a selection...
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11/17/2018
High SNR Consistent Compressive Sensing Without Signal and Noise Statistics
Recovering the support of sparse vectors in underdetermined linear regre...
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09/19/2018
Noise Statistics Oblivious GARD For Robust Regression With Sparse Outliers
Linear regression models contaminated by Gaussian noise (inlier) and pos...
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09/11/2018
Structured and Unstructured Outlier Identification for Robust PCA: A Non iterative, Parameter free Algorithm
Robust PCA, the problem of PCA in the presence of outliers has been exte...
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06/14/2018
Asymptotic maximal order statistic for SIR in κ-μ shadowed fading
Using tools from extreme value theory (EVT), it is proved that the limit...
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06/02/2018
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit
Orthogonal matching pursuit (OMP) is a widely used algorithm for recover...
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05/20/2018
Analysis of Outage Probability of MRC with η-μ co-channel interference
Approximate outage probability expressions are derived for systems emplo...
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05/06/2018
Residual Ratio Thresholding for Model Order Selection
Model order selection (MOS) in linear regression models is a widely stud...
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04/30/2018
A Non-parametric Multi-stage Learning Framework for Cognitive Spectrum Access in IoT Networks
Given the increasing number of devices that is going to get connected to...
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04/13/2018
Fast, Parameter free Outlier Identification for Robust PCA
Robust PCA, the problem of PCA in the presence of outliers has been exte...
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08/03/2017
Reinforcement learning techniques for Outer Loop Link Adaptation in 4G/5G systems
Wireless systems perform rate adaptation to transmit at highest possible...
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07/31/2017
Taming Non-stationary Bandits: A Bayesian Approach
We consider the multi armed bandit problem in non-stationary environment...
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07/27/2017
Signal and Noise Statistics Oblivious Sparse Reconstruction using OMP/OLS
Orthogonal matching pursuit (OMP) and orthogonal least squares (OLS) are...
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03/15/2017
