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08/31/2023
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization
Federated learning (FL) involves several devices that collaboratively tr...
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08/04/2023
Robust cell-free mmWave/sub-THz access using minimal coordination and coarse synchronization
This study investigates simpler alternatives to coherent joint transmiss...
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07/10/2023
Coded Distributed Image Classification
In this paper, we present a coded computation (CC) scheme for distribute...
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07/10/2023
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments
This paper presents a decentralized algorithm for solving distributed co...
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05/09/2023
On the Limits of HARQ Prediction for Short Deterministic Codes with Error Detection in Memoryless Channels (Extended Version with Proofs)
We provide a mathematical framework to analyze the limits of Hybrid Auto...
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04/27/2023
BiSPARCs for Unsourced Random Access in Massive MIMO
This paper considers the massive MIMO unsourced random access problem in...
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04/14/2023
Characterization of the weak Pareto boundary of resource allocation problems in wireless networks – Implications to cell-less systems
We establish necessary and sufficient conditions for a network configura...
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02/23/2023
The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction
As cellular networks evolve towards the 6th Generation (6G), Machine Lea...
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01/16/2023
UL-DL duality for cell-free massive MIMO with per-AP power and information constraints
We derive a novel uplink-downlink duality principle for optimal joint pr...
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12/20/2022
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
The evolution of wireless communications into 6G and beyond is expected ...
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12/20/2022
Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
This paper presents two wireless measurement campaigns in industrial tes...
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11/24/2022
MIMO Systems with Reconfigurable Antennas: Joint Channel Estimation and Mode Selection
Reconfigurable antennas (RAs) are a promising technology to enhance the ...
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10/11/2022
Little or no equalization is needed in energy-efficient sub-THz mobile access
By trading coverage and hardware complexity for abundance of spectrum, s...
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10/11/2022
Estimation of Doubly-Dispersive Channels in Linearly Precoded Multicarrier Systems Using Smoothness Regularization
In this paper, we propose a novel channel estimation scheme for pulse-sh...
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08/02/2022
Joint optimal beamforming and power control in cell-free massive MIMO
We derive a fast and optimal algorithm for solving practical weighted ma...
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07/26/2022
Constant Weight Codes with Gabor Dictionaries and Bayesian Decoding for Massive Random Access
This paper considers a general framework for massive random access based...
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07/12/2022
Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex Transceivers with Nonlinearity
This paper presents a kernel-based adaptive filter that is applied for t...
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06/13/2022
GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access
Non-orthogonal multiple access (NOMA) is an interesting technology that ...
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05/19/2022
A Learning-Based Approach to Approximate Coded Computation
Lagrange coded computation (LCC) is essential to solving problems about ...
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05/16/2022
Semantic Security with Infinite Dimensional Quantum Eavesdropping Channel
We propose a new proof method for direct coding theorems for wiretap cha...
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05/01/2022
Closed-form max-min power control for some cellular and cell-free massive MIMO networks
Many common instances of power control problems for cellular and cell-fr...
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04/26/2022
Open or not open: Are conventional radio access networks more secure and trustworthy than Open-RAN?
The Open RAN architecture is a promising and future-oriented architectur...
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03/09/2022
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy
Commercial radar sensing is gaining relevance and machine learning algor...
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03/02/2022
Superiorized Adaptive Projected Subgradient Method with Application to MIMO Detection
In this paper, we show that the adaptive projected subgradient method (A...
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01/13/2022
Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond
Adaptive partial linear beamforming meets the need of 5G and future 6G a...
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07/16/2021
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems
We propose a method that combines fixed point algorithms with a neural n...
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07/16/2021
Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems
We propose a deep learning-based method that uses spatial and temporal i...
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07/14/2021
Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps
Learning any-to-any (A2A) path loss maps, where the objective is the rec...
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07/13/2021
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication
This paper addresses the problem of decentralized spectrum sharing in ve...
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05/05/2021
Leveraging Machine Learning for Industrial Wireless Communications
Two main trends characterize today's communication landscape and are fin...
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03/21/2021
Robust Cell-Load Learning with a Small Sample Set
Learning of the cell-load in radio access networks (RANs) has to be perf...
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03/21/2021
Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems
Cloud-radio access network (C-RAN) can enable cell-less operation by con...
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02/23/2021
Multi-Group Multicast Beamforming by Superiorized Projections onto Convex Sets
In this paper, we propose an iterative algorithm to address the nonconve...
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01/27/2021
Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks
A fog-radio access network (F-RAN) architecture is studied for an Intern...
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01/12/2021
Over-The-Air Computation in Correlated Channels
This paper addresses the problem of Over-The-Air (OTA) computation in wi...
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08/13/2020
Full-Duplex Amplify-and-Forward MIMO Relaying: Impairments Aware Design and Performance Analysis
Full-Duplex (FD) Amplify-and-Forward (AF) Multiple-Input Multiple-Output...
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07/06/2020
Over-The-Air Computation for Distributed Machine Learning
Motivated by various applications in distributed Machine Learning (ML) i...
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01/09/2020
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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01/02/2020
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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11/11/2019
Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform
Conventional multiuser detection techniques either require a large numbe...
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10/25/2019
Joint Source-Channel Coding and Bayesian Message Passing Detection for Grant-Free Radio Access in IoT
Consider an Internet-of-Things (IoT) system that monitors a number of mu...
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07/08/2019
Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem
In this work, we consider the problem of distributed approximation of fu...
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03/23/2019
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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03/07/2019
A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks
We introduce ScalableMax, a novel communication scheme for achieving max...
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04/23/2018
Error Bounds for FDD Massive MIMO Channel Covariance Conversion with Set-Theoretic Methods
We derive novel bounds for the performance of algorithms that estimate t...
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04/05/2018
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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03/15/2018
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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01/11/2018
Resolvability on Continuous Alphabets
We characterize the resolvability region for a large class of point-to-p...
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09/04/2017
Optimal deep neural networks for sparse recovery via Laplace techniques
This paper introduces Laplace techniques for designing a neural network,...
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08/28/2017
