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09/19/2023
Sparser Random Networks Exist: Enforcing Communication-Efficient Federated Learning via Regularization
This work presents a new method for enhancing communication efficiency i...
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06/03/2023
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks
Deploying teams of cooperative unmanned aerial vehicles (UAVs) to harves...
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05/24/2023
UAV Trajectory Optimization and Tracking for User Localization in Wireless Networks
In this paper, we investigate the problem of UAV-aided user localization...
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05/12/2023
Revisiting Matching Pursuit: Beyond Approximate Submodularity
We study the problem of selecting a subset of vectors from a large set, ...
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05/10/2023
Integrated Access and Backhaul in 5G with Aerial Distributed Unit using OpenAirInterface
In this work, we demonstrate the Integrated Access and Backhaul (IAB) ca...
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04/25/2023
User-Centric Federated Learning: Trading off Wireless Resources for Personalization
Statistical heterogeneity across clients in a Federated Learning (FL) sy...
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03/24/2023
A Novel Metric for mMIMO Base Station Association for Aerial Highway Systems
In this article, we introduce a new metric for driving the serving cell ...
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08/24/2022
Team Precoding Towards Scalable Cell-free Massive MIMO Networks
In a recent work, we studied a novel precoding design for cell-free netw...
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07/01/2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications
This work takes a critical look at the application of conventional machi...
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06/04/2022
UAV-Aided Multi-Community Federated Learning
In this work, we investigate the problem of an online trajectory design ...
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05/31/2022
Communication-Efficient Distributionally Robust Decentralized Learning
Decentralized learning algorithms empower interconnected edge devices to...
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05/06/2022
UAV-aided RF Mapping for Sensing and Connectivity in Wireless Networks
The use of unmanned aerial vehicles (UAV) as flying radio access network...
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05/06/2022
UAV-aided Wireless Node Localization Using Hybrid Radio Channel Models
This paper considers the problem of ground user localization based on re...
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03/03/2022
Robust PAC^m: Training Ensemble Models Under Model Misspecification and Outliers
Standard Bayesian learning is known to have suboptimal generalization ca...
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03/02/2022
UAV-Aided Decentralized Learning over Mesh Networks
Decentralized learning empowers wireless network devices to collaborativ...
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02/11/2022
A Partial Reciprocity-based Channel Prediction Framework for FDD massive MIMO with High Mobility
Massive multiple-input multiple-output (MIMO) is believed to deliver unr...
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01/26/2022
A Partial Channel Reciprocity-based Codebook for Wideband FDD Massive MIMO
The acquisition of channel state information (CSI) in Frequency Division...
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10/19/2021
User-Centric Federated Learning
Data heterogeneity across participating devices poses one of the main ch...
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09/30/2021
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance
Reliable pedestrian crash avoidance mitigation (PCAM) systems are crucia...
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08/02/2021
Leveraging Multiple Legacy Wi-Fi Links for Human Behavior Sensing
Taking advantage of the rich information provided by Wi-Fi measurement s...
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06/15/2021
Enforcing Statistical Orthogonality in Massive MIMO Systems via Covariance Shaping
This paper tackles the problem of downlink transmission in massive multi...
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05/13/2021
A Received Power Model for Reconfigurable Intelligent Surface and Measurement-based Validations
The idea of using a Reconfigurable Intelligent Surface (RIS) consisting ...
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04/30/2021
Team MMSE Precoding with Applications to Cell-free Massive MIMO
This article studies a novel distributed precoding design, coined team m...
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04/29/2021
A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection
Efficient millimeter wave (mmWave) beam selection in vehicle-to-infrastr...
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04/21/2021
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
Deep Reinforcement Learning (DRL) is gaining attention as a potential ap...
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02/02/2021
D2D-Aided Multi-Antenna Multicasting under Generalized CSIT
Multicasting, where a base station (BS) wishes to convey the same messag...
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12/16/2020
User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO
Massive multiple-input multiple-output (mMIMO) communications are one of...
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10/23/2020
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
Harvesting data from distributed Internet of Things (IoT) devices with m...
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10/14/2020
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning
Path planning methods for autonomous unmanned aerial vehicles (UAVs) are...
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07/28/2020
Team Deep Mixture of Experts for Distributed Power Control
In the context of wireless networking, it was recently shown that multip...
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07/01/2020
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
Autonomous deployment of unmanned aerial vehicles (UAVs) supporting next...
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05/06/2020
Decentralizing Multi-Operator Cognitive Radio Resource Allocation: An Asymptotic Analysis
We address the problem of resource allocation (RA) for spectrum underlay...
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04/24/2020
Asymptotically Achieving Centralized Rate on the Decentralized Network MISO Channel
In this paper, we analyze the high-SNR regime of the M x K Network MISO ...
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03/05/2020
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning
Coverage path planning (CPP) is the task of designing a trajectory that ...
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01/13/2020
DoF Region of the Decentralized MIMO Broadcast Channelx2014How many informed antennas do we need?
We study the impact of imperfect sharing of the Channel State Informatio...
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12/24/2019
Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions
Massive MIMO is widely touted as an enabling technology for 5th generati...
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11/18/2019
Cooperative Multiple-Access Channels with Distributed State Information
This paper studies a memoryless state-dependent multiple access channel ...
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11/17/2019
Predicting Device-to-Device Channels from Cellular Channel Measurements: A Learning Approach
Device-to-device (D2D) communication, which enables a direct connection ...
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11/04/2019
3D-Map Assisted UAV Trajectory Design Under Cellular Connectivity Constraints
The enabling of safe cellular controlled unmanned aerial vehicle (UAV) b...
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04/28/2019
Machine Learning in the Air
Thanks to the recent advances in processing speed and data acquisition a...
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04/01/2019
Exploring the Trade-Off between Privacy and Coordination in Millimeter Wave Spectrum Sharing
The synergetic gains of spectrum sharing and millimeter wave communicati...
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03/29/2019
Coordinated Beam Selection in Millimeter Wave Multi-User MIMO Using Out-of-Band Information
Using out-of-band (OOB) side-information has recently been shown to acce...
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02/14/2019
A Covariance-Based Hybrid Channel Feedback in FDD Massive MIMO Systems
In this paper, a novel covariance-based channel feedback mechanism is in...
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01/21/2019
Achieving Vanishing Rate Loss in Decentralized Network MIMO
In this paper, we analyze a Network MIMO channel with 2 Transmitters (TX...
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07/06/2018
Enabling Covariance-Based Feedback in Massive MIMO: A User Classification Approach
In this paper, we propose a novel channel feedback scheme for frequency ...
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06/13/2018
Learning to Communicate in UAV-aided Wireless Networks: Map-based Approaches
We consider the scenario of a UAV-mounted flying base station providing ...
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05/29/2018
Neural Network Aided Decoding for Physical-Layer Network Coding Random Access
Hinging on ideas from physical-layer network coding, some promising prop...
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02/27/2018
Cooperative MIMO Precoding with Distributed CSI: A Hierarchical Approach
The problem of network multiple-input multiple-output precoding under di...
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01/11/2018
Local Map-assisted Positioning for Flying Wireless Relays
This paper considers the exploitation of unmanned aerial vehicles (UAVs)...
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01/05/2018