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08/08/2023
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations
Existing approaches to distributed matrix computations involve allocatin...
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07/09/2023
Derandomizing Codes for the Binary Adversarial Wiretap Channel of Type II
We revisit the binary adversarial wiretap channel (AWTC) of type II in w...
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05/23/2023
Adversarial Channels with O(1)-Bit Partial Feedback
We consider point-to-point communication over q-ary adversarial channels...
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03/15/2023
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks
Federated learning (FL) has been promoted as a popular technique for tra...
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02/23/2023
Coded Matrix Computations for D2D-enabled Linearized Federated Learning
Federated learning (FL) is a popular technique for training a global mod...
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02/16/2023
Propagation Measurements and Analyses at 28 GHz via an Autonomous Beam-Steering Platform
This paper details the design of an autonomous alignment and tracking pl...
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01/30/2023
Distributed Matrix Computations with Low-weight Encodings
Straggler nodes are well-known bottlenecks of distributed matrix computa...
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10/29/2022
Linear Coding for Gaussian Two-Way Channels
We consider linear coding for Gaussian two-way channels (GTWCs), in whic...
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10/17/2022
Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?
Accurate channel knowledge is critical in massive multiple-input multipl...
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09/01/2022
A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions
Rate-Splitting Multiple Access (RSMA) has emerged as a powerful multiple...
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05/07/2022
Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks
Intelligent reflecting surfaces (IRS) consist of configurable meta-atoms...
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03/26/2022
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point
We propose cooperative edge-assisted dynamic federated learning (CE-FL)....
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03/18/2022
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
In this paper, we study a new latency optimization problem for Blockchai...
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02/07/2022
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
Federated learning (FedL) has emerged as a popular technique for distrib...
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02/07/2022
Channel Capacity for Adversaries with Computationally Bounded Observations
We study reliable communication over point-to-point adversarial channels...
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12/14/2021
Practical Distributed Reception for Wireless Body Area Networks Using Supervised Learning
Medical applications have driven many areas of engineering to optimize d...
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10/14/2021
A Robotic Antenna Alignment and Tracking System for Millimeter Wave Propagation Modeling
In this paper, we discuss the design of a sliding-correlator channel sou...
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04/15/2021
Stochastic-Adversarial Channels : Online Adversaries With Feedback Snooping
The growing need for reliable communication over untrusted networks has ...
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01/25/2021
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
Reliable communication through multiple-input multiple-output (MIMO) ort...
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01/12/2021
Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques
In this paper, we take a critical and fresh look at the downlink multi-a...
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11/02/2020
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach
Applications of intelligent reflecting surfaces (IRSs) in wireless netwo...
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11/02/2020
Frequency-based Automated Modulation Classification in the Presence of Adversaries
Automatic modulation classification (AMC) aims to improve the efficiency...
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08/19/2020
Noncoherent OOK Symbol Detection with Supervised-Learning Approach for BCC
There has been a continuing demand for improving the accuracy and ease o...
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07/25/2020
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks
Device-to-device (D2D) communications is expected to be a critical enabl...
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07/18/2020
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks
One of the popular methods for distributed machine learning (ML) is fede...
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02/27/2020
Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing
In this paper, we study the distributed computational capabilities of de...
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09/30/2019
Multiple Antenna Technologies for Beyond 5G
Multiple antenna technologies have attracted large research interest for...
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06/05/2018
On the Energy Efficiency of MIMO Hybrid Beamforming for Millimeter Wave Systems with Nonlinear Power Amplifiers
Multiple-input multiple-output (MIMO) millimeter wave (mmWave) systems a...
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04/23/2018
Adaptive Beam Tracking with the Unscented Kalman Filter for Millimeter Wave Communication
Millimeter wave (mmWave) communication links for 5G cellular technology ...
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02/14/2018
