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Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
Mobile edge computing (MEC) has been envisioned as a promising paradigm ...
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Symbiotic Communications: Where Marconi Meets Darwin
With the proliferation of wireless applications, the electromagnetic (EM...
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Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches
In this paper, we address dynamic network selection problems of mobile u...
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Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions
Internet of Everything (IoE) applications such as haptics, human-compute...
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A Game-theoretic Approach Towards Collaborative Coded Computation Offloading
Coded distributed computing (CDC) has emerged as a promising approach be...
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Transfer Learning for Future Wireless Networks: A Comprehensive Survey
With outstanding features, Machine Learning (ML) has been the backbone o...
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Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation
Federated learning (FL) as a promising edge-learning framework can effec...
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A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications
It is known that the capacity of the intelligent reflecting surface (IRS...
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Collaborative Coded Computation Offloading: An All-pay Auction Approach
As the amount of data collected for crowdsensing applications increases ...
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Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
Federated Edge Learning (FEL) allows edge nodes to train a global deep l...
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Intelligent Reflecting Surface-Assisted Bistatic Backscatter Networks: Joint Beamforming and Reflection Design
The passive communication of backscatter devices is a major limiting fac...
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Optimization-driven Machine Learning for Intelligent Reflecting Surfaces Assisted Wireless Networks
Intelligent reflecting surface (IRS) has been recently employed to resha...
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A Survey of Coded Distributed Computing
Distributed computing has become a common approach for large-scale compu...
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Toward Smart Security Enhancement of Federated Learning Networks
As traditional centralized learning networks (CLNs) are facing increasin...
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Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework
The emerging Federated Edge Learning (FEL) technique has drawn considera...
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Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach
In this letter, we investigate the dynamic network service provider (SP)...
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Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey
Joint radar and communication (JRC) has recently attracted substantial a...
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Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles
Due to the advanced capabilities of the Internet of Vehicles (IoV) compo...
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Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey
Internet of Vehicles (IoV) is an emerging concept that is believed to he...
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iRDRC: An Intelligent Real-time Dual-functional Radar-Communication System for Automotive Vehicles
This letter introduces an intelligent Real-time Dual-functional Radar-Co...
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Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach
Failure of mission-critical equipment interrupts production and results ...
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Cognitive Radio Network Throughput Maximization with Deep Reinforcement Learning
Radio Frequency powered Cognitive Radio Networks (RF-CRN) are likely to ...
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Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
As the 5G communication networks are being widely deployed worldwide, bo...
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Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning
In 5G and Beyond networks, Artificial Intelligence applications are expe...
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Two-Hop Connectivity to the Roadside in a VANET Under the Random Connection Model
We compute the expected number of cars that have at least one two-hop pa...
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Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications
Intelligent reflecting surface (IRS) is a promising technology to assist...
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A Bandit Approach for Mode Selection in Ambient Backscatter-Assisted Wireless-Powered Relaying
Backscattering assisted wireless-powered communication combines ultralow...
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A Secure Federated Learning Framework for 5G Networks
Federated Learning (FL) has been recently proposed as an emerging paradi...
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Demand-Side Scheduling Based on Deep Actor-Critic Learning for Smart Grids
We consider the problem of demand-side energy management, where each hou...
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Intelligent Reflecting Surface-Aided Backscatter Communications
We introduce a novel system setup where a backscatter device operates in...
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Local Differential Privacy based Federated Learning for Internet of Things
Internet of Vehicles (IoV) is a promising branch of the Internet of Thin...
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Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
Blockchain-enabled Federated Learning (BFL) enables model updates of Fed...
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Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach
Coupled with the rise of Deep Learning, the wealth of data and enhanced ...
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On Coordination of Smart Grid and Cooperative Cloud Providers
Cooperative cloud providers in the form of cloud federations can potenti...
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Decentralized Learning for Channel Allocation in IoT Networks over Unlicensed Bandwidth as a Contextual Multi-player Multi-armed Bandit Game
We study a decentralized channel allocation problem in an ad-hoc Interne...
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Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks
Wireless power transfer (WPT) is a promising technology to prolong the l...
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Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
Existing traffic flow forecasting approaches by deep learning models ach...
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A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network
Spatio-temporal modeling of wireless access latency is of great importan...
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Optimal Pricing of Internet of Things: A Machine Learning Approach
Internet of things (IoT) produces massive data from devices embedded wit...
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A Retrodirective Wireless Power Transfer Scheme for Ambient Backscatter Systems
One of the key challenges of the Internet of Things (IoT) is to sustaina...
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Shipper Cooperation in Stochastic Drone Delivery: A Dynamic Bayesian Game Approach
With the recent technological innovation, unmanned aerial vehicles, know...
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Reflection Resource Management for Intelligent Reflecting Surface Aided Wireless Networks
In this paper, the adoption of an intelligent reflecting surface (IRS) f...
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Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints
This paper investigates the system spectral efficiency (SE) in reconfigu...
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Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing
Wireless network optimization has been becoming very challenging as the ...
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Capitalizing Backscatter-Aided Hybrid Relay Communications with Wireless Energy Harvesting
In this work, we employ multiple energy harvesting relays to assist info...
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Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has numerous applications in the real ...
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A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost
An increasing amount of users' sensitive information is now being collec...
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Joint Time Scheduling and Transaction Fee Selection in Blockchain-based RF-Powered Backscatter Cognitive Radio Network
In this paper, we develop a new framework called blockchain-based Radio ...
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IRS-based Wireless Jamming Attacks: When Jammers can Attack without Power
This paper introduces a new type of wireless jamming attack, called IRS ...
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Spectrum Intelligent Radio: Technology, Development, and Future Trends
The advent of Industry 4.0 with massive connectivity places significant ...
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