
Deep Learning Beam Optimization in MillimeterWave Communication Systems
We propose a method that combines fixed point algorithms with a neural n...
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Deep Learning Based Hybrid Precoding in DualBand Communication Systems
We propose a deep learningbased method that uses spatial and temporal i...
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Hybrid Model and Data Driven Algorithm for Online Learning of AnytoAny Path Loss Maps
Learning anytoany (A2A) path loss maps, where the objective is the rec...
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Transfer Learning in MultiAgent Reinforcement Learning with Double QNetworks for Distributed Resource Sharing in V2X Communication
This paper addresses the problem of decentralized spectrum sharing in ve...
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Leveraging Machine Learning for Industrial Wireless Communications
Two main trends characterize today's communication landscape and are fin...
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Robust CellLoad Learning with a Small Sample Set
Learning of the cellload in radio access networks (RANs) has to be perf...
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SetTheoretic Learning for Detection in CellLess CRAN Systems
Cloudradio access network (CRAN) can enable cellless operation by con...
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MultiGroup Multicast Beamforming by Superiorized Projections onto Convex Sets
In this paper, we propose an iterative algorithm to address the nonconve...
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Joint SourceChannel Coding for SemanticsAware GrantFree Radio Access in IoT Fog Networks
A fogradio access network (FRAN) architecture is studied for an Intern...
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OverTheAir Computation in Correlated Channels
This paper addresses the problem of OverTheAir (OTA) computation in wi...
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FullDuplex AmplifyandForward MIMO Relaying: Impairments Aware Design and Performance Analysis
FullDuplex (FD) AmplifyandForward (AF) MultipleInput MultipleOutput...
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OverTheAir Computation for Distributed Machine Learning
Motivated by various applications in distributed Machine Learning (ML) i...
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Securing Distributed Function Approximation via Coding for Continuous Compound Channels
We revisit the problem of distributed approximation of functions over mu...
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Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges
The fifth generation (5G) wireless communication networks are currently ...
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Machine LearningBased Adaptive Receive Filtering: ProofofConcept on an SDR Platform
Conventional multiuser detection techniques either require a large numbe...
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Joint SourceChannel Coding and Bayesian Message Passing Detection for GrantFree Radio Access in IoT
Consider an InternetofThings (IoT) system that monitors a number of mu...
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Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the MaxConsensus Problem
In this work, we consider the problem of distributed approximation of fu...
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Connections between spectral properties of asymptotic mappings and solutions to wireless network problems
In this study we establish connections between asymptotic functions and ...
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A Scalable MaxConsensus Protocol For Noisy UltraDense Networks
We introduce ScalableMax, a novel communication scheme for achieving max...
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Error Bounds for FDD Massive MIMO Channel Covariance Conversion with SetTheoretic Methods
We derive novel bounds for the performance of algorithms that estimate t...
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Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks
The fifth generation of cellular communication systems is foreseen to en...
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Spectral radii of asymptotic mappings and the convergence speed of the standard fixed point algorithm
Important problems in wireless networks can often be solved by computing...
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Resolvability on Continuous Alphabets
We characterize the resolvability region for a large class of pointtop...
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Optimal deep neural networks for sparse recovery via Laplace techniques
This paper introduces Laplace techniques for designing a neural network,...
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The Convergence of Machine Learning and Communications
The areas of machine learning and communication technology are convergin...
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Towards optimal nonlinearities for sparse recovery using higherorder statistics
We consider machine learning techniques to develop lowlatency approxima...
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KernelBased Adaptive Online Reconstruction of Coverage Maps With Side Information
In this paper, we address the problem of reconstructing coverage maps fr...
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Slawomir Stanczak
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