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09/04/2023
A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey
The growing interest in the Metaverse has generated momentum for members...
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08/30/2023
Securing Blockchain Systems: A Novel Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts
With the escalating prevalence of malicious activities exploiting vulner...
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08/09/2023
Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation
Federated learning (FL) has found many successes in wireless networks; h...
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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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04/30/2023
MetaShard: A Novel Sharding Blockchain Platform for Metaverse Applications
Due to its security, transparency, and flexibility in verifying virtual ...
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03/19/2023
Enabling Immersion and Presence in the Metaverse with Over-the-Air Brain-Computer Interface
Decoding brain signals can not only reveal Metaverse users' expectations...
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02/27/2023
Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning
This work proposes a novel framework to dynamically and effectively mana...
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02/06/2023
Network-Aided Intelligent Traffic Steering in 6G ORAN: A Multi-Layer Optimization Framework
To enable an intelligent, programmable and multi-vendor radio access net...
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02/01/2023
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
With the rising demand for wireless services and increased awareness of ...
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01/26/2023
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence
Real-time machine learning has recently attracted significant interest d...
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12/17/2022
Toward BCI-enabled Metaverse: A Joint Radio and Computing Resource Allocation Approach
Toward user-driven Metaverse applications with fast wireless connectivit...
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11/14/2022
Optimal Privacy Preserving in Wireless Federated Learning System over Mobile Edge Computing
Federated Learning (FL) with quantization and deliberately added noise o...
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09/29/2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data
In real-world applications, Federated Learning (FL) meets two challenges...
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07/25/2022
When Virtual Reality Meets Rate Splitting Multiple Access: A Joint Communication and Computation Approach
Rate Splitting Multiple Access (RSMA) has emerged as an effective interf...
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05/23/2022
MetaSlicing: A Novel Resource Allocation Framework for Metaverse
Creating and maintaining the Metaverse requires enormous resources that ...
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04/14/2022
HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks
Federated learning (FL) is a new artificial intelligence concept that en...
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03/31/2022
Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks with Covert Communications
Rate Splitting Multiple Access (RSMA) has recently emerged as a promisin...
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03/21/2022
Collaborative Learning for Cyberattack Detection in Blockchain Networks
This article aims to study intrusion attacks and then develop a novel cy...
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02/23/2022
AI-empowered Joint Communication and Radar Systems with Adaptive Waveform for Autonomous Vehicles
In Joint Communication and Radar (JCR)-based Autonomous Vehicle (AV) sys...
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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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01/03/2022
Energy-based Proportional Fairness in Cooperative Edge Computing
By executing offloaded tasks from mobile users, edge computing augments ...
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12/30/2021
MetaChain: A Novel Blockchain-based Framework for Metaverse Applications
Metaverse has recently attracted paramount attention due to its potentia...
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12/02/2021
Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks
Federated Learning (FL) has recently become an effective approach for cy...
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09/22/2021
In-network Computation for Large-scale Federated Learning over Wireless Edge Networks
Most conventional Federated Learning (FL) models are using a star networ...
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09/22/2021
Enabling Large-Scale Federated Learning over Wireless Edge Networks
Major bottlenecks of large-scale Federated Learning(FL) networks are the...
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07/29/2021
Secure Swarm UAV-assisted Communications with Cooperative Friendly Jamming
This article proposes a cooperative friendly jamming framework for swarm...
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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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06/10/2021
Jointly Optimize Coding and Node Selection for Distributed Computing over Wireless Edge Networks
This work aims to jointly optimize the coding and node selection to mini...
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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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01/29/2021
FedChain: Secure Proof-of-Stake-based Framework for Federated-blockchain Systems
In this paper, we propose FedChain, a novel framework for federated-bloc...
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01/18/2021
Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance
We investigate the performance of multi-user multiple-antenna downlink s...
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01/01/2021
Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles
Federated learning (FL) can empower Internet-of-Vehicles (IoV) networks ...
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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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07/30/2020
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications
Due to the proliferation of smart devices and emerging applications, man...
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05/29/2020
Energy Trading and Time Scheduling for Heterogeneous Wireless-Powered and Backscattering-based IoT Networks
In this paper, an economic model is proposed for joint time resource all...
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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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05/10/2020
BlockRoam: Blockchain-based Roaming Management System for Future Mobile Networks
Mobile service providers (MSPs) are particularly vulnerable to roaming f...
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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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04/04/2020
Federated Learning Meets Contract Theory: Energy-Efficient Framework for Electric Vehicle Networks
In this paper, we propose a novel energy-efficient framework for an elec...
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12/24/2019
"Borrowing Arrows with Thatched Boats": The Art of Defeating Reactive Jammers in IoT Networks
In this article, we introduce a novel deception strategy which is inspir...
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09/03/2019
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
In this paper, we propose novel approaches using state-of-the-art machin...
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06/09/2019
Optimal Task Offloading and Resource Allocation for Fog Computing
We propose a novel multi-tier fog and cloud computing architecture that ...
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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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12/13/2018
Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks
This letter proposes two novel proactive cooperative caching approaches ...
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11/30/2018
2D Proactive Uplink Resource Allocation Algorithm for Event Based MTC Applications
We propose a two dimension (2D) proactive uplink resource allocation (2D...
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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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10/25/2018
