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08/04/2023
Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications
This article introduces a novel lightweight framework using ambient back...
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05/12/2023
Deep Deterministic Policy Gradient for End-to-End Communication Systems without Prior Channel Knowledge
End-to-End (E2E) learning-based concept has been recently introduced to ...
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12/15/2022
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet
In heterogeneous networks (HetNets), the overlap of small cells and the ...
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01/17/2022
A Novel Covert Communication Method using Ambient Backscatter Communications
This paper introduces a novel solution to enable covert communication in...
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06/19/2021
Joint Speed Control and Energy Replenishment Optimization for UAV-assisted IoT Data Collection with Deep Reinforcement Transfer Learning
Unmanned aerial vehicle (UAV)-assisted data collection has been emerging...
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05/04/2021
Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis
This paper develops a novel framework to defeat a super-reactive jammer,...
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03/07/2021
Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks
Unlike theoretical distributed learning (DL), DL over wireless edge netw...
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02/15/2021
Transfer Learning for Future Wireless Networks: A Comprehensive Survey
With outstanding features, Machine Learning (ML) has been the backbone o...
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11/12/2020
Fast or Slow: An Autonomous Speed Control Approach for UAV-assisted IoT Data Collection Networks
Unmanned Aerial Vehicles (UAVs) have been emerging as an effective solut...
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05/13/2020
DeepFake: Deep Dueling-based Deception Strategy to Defeat Reactive Jammers
In this paper, we introduce DeepFake, a novel deep reinforcement learnin...
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05/02/2020
Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach
In intelligent transportation systems (ITS), vehicles are expected to fe...
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04/08/2019
"Jam Me If You Can": Defeating Jammer with Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications
With conventional anti-jamming solutions like frequency hopping or sprea...
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02/26/2019
Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks
Effective network slicing requires an infrastructure/network provider to...
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11/30/2018
Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks
We propose a novel edge computing network architecture that enables edge...
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09/08/2018
Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning
Ambient backscatter has been introduced with a wide range of application...
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08/23/2018
Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter
For an RF-powered cognitive radio network with ambient backscattering ca...
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01/08/2018
Optimal Time Scheduling for Wireless-Powered Backscatter Communication Networks
This letter introduces a novel wireless-powered backscatter communicatio...
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12/13/2017