Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing
메타 학습 기반 차량용 유해 트래픽 탐지 시스템
Trajectory Optimization and Phase-Shift Design in IRS-Assisted UAV Network for Smart Railway
Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks
Incentive Framework for Cross-Device Federated Learning and Analytics With Multiple Tasks Based on a Multi-Leader-Follower Game
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
질의와 관련있는 답변 생성을 위해 잠재 답변을 고려하여 질의를 인코딩하는 질의 토큰 중요도 계산기
A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks
A Novel Contract Theory-Based Incentive Mechanism for Cooperative Task-Offloading in Electrical Vehicular Networks
Trustworthy Digital Twins in the Industrial Internet of Things With Blockchain
Distributed Auction-Based Incentive Mechanism for Energy Trading Between Electric Vehicles and Mobile Charging Stations
Pricing and Resource Allocation Optimization for IoT Fog Computing and NFV: An EPEC and Matching Based Perspective
기억재현 지속학습을 활용한 다중 도메인 응답 생성
Clouds Proportionate Medical Data Stream Analytics for Internet of Things-Based Healthcare Systems
A Deep Learning Accelerator based on a Streaming Architecture for Binary Neural Networks
Internet of things for secure surveillance for sewage wastewater treatment systems
FedMarket: A Cryptocurrency Driven Marketplace for Mobile Federated Learning Services
Blockchain-Based Digital Twins: Research Trends, Issues, and Future Challenges
Joint Communication, Computation, and Control for Computational Task Offloading in Vehicle-Assisted Multi-Access Edge Computing
Edge-Assisted Democratized Learning Toward Federated Analytics
Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions
QoE optimization for HTTP adaptive streaming: Performance evaluation of MEC-assisted and client-based methods
On-Device Computational Caching-Enabled Augmented Reality for 5G and Beyond: A Contract-Theory-Based Incentive Mechanism
Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks
CROWD-CDN: A cryptocurrency incentivized crowdsourced peer-to-peer content delivery framework
Ultra-Reliable Indoor Millimeter Wave Communications Using Multiple Artificial Intelligence-Powered Intelligent Surfaces
ST-BFL: A Structured Transparency Empowered Cross-Silo Federated Learning on the Blockchain Framework
Dispersed Federated Learning: Vision, Taxonomy, and Future Directions
UAV-Assisted Free Space Optical Communication System with Amplify-and-Forward Relaying
Socially-Aware-Clustering-Enabled Federated Learning for Edge Networks
Cloud- and IoT-based deep learning technique-incorporated secured health monitoring system for dead diseases
Cyber Insurance Design for Validator Rotation in Sharded Blockchain Networks: A Hierarchical Game-Based Approach
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
Risk-Aware Energy Scheduling for Edge Computing With Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
Matching-Theory-Based Low-Latency Scheme for Multitask Federated Learning in MEC Networks
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach
On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation
FedSVRG Based Communication Efficient Scheme for Federated Learning in MEC Networks
Federated learning for internet of things: Recent advances, taxonomy, and open challenges
Joint Location, Bandwidth and Power Optimization for THz-Enabled UAV Communications
Ruin Theory for Energy-Efficient Resource Allocation in UAV-Assisted Cellular Networks
When CVaR Meets With Bluetooth PAN: A Physical Distancing System for COVID-19 Proactive Safety
Internet of Planets (IoP): A New Era of the Internet
Energy-Aware Resource Management for Federated Learning in Multi-Access Edge Computing Systems
Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing
Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges
Latency-Sensitive Service Delivery With UAV-Assisted 5G Networks
Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks
An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
On the Role of Hash-Based Signatures in Quantum-Safe Internet of Things: Current Solutions and Future Directions
Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing
Latency Minimization in a Fuzzy-Based Mobile Edge Orchestrator for IoT Applications
Distributed and Democratized Learning: Philosophy and Research Challenges
3D Channel Characterization and Performance Analysis of UAV-Assisted Millimeter Wave Links
Energy Efficient Federated Learning over Wireless Communication Networks
UAV-Edge 컴퓨팅 기술을 활용한 지능형 딜리버리 시스템 연구
Auction Mechanism for Dynamic Bandwidth Allocation in Multi-Tenant Edge Computing
Orchestrating product provenance story: When IOTA ecosystem meets electronics supply chain space
Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective
Flexible computation offloading in a fuzzy-based mobile edge orchestrator for IoT applications
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism
Resource Optimized Federated Learning-Enabled Cognitive Internet of Things for Smart Industries
Contract-Based Scheduling of URLLC Packets in Incumbent EMBB Traffic
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey
Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond
Heterogeneous Projection of Disruptive Malware Prevalence in Mobile Social Networks
6G Wireless Systems: A Vision, Architectural Elements, and Future Directions
Joint Offloading and IEEE 802.11p-Based Contention Control in Vehicular Edge Computing
Parking Assignment: Minimizing Parking Expenses and Balancing Parking Demand Among Multiple Parking Lots
블록체인 네트워크에서 마이닝 풀 선택에 대한 확률적 접근
Joint Communication, Computation, Caching, and Control in Big Data Multi-Access Edge Computing
Edge Computing Resources Reservation in Vehicular Networks: A Meta-Learning Approach
Let's Share the Resource When We're Co-Located: Colocation Edge Computing
Provenance-enabled packet path tracing in the RPL-based internet of things
Distributed Radio Slice Allocation in Wireless Network Virtualization: Matching Theory Meets Auctions
Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing
Quality Adaptation and Resource Allocation for Scalable Video in D2D Communication Networks
Joint Radio Resource Allocation and Content Caching in Heterogeneous Virtualized Wireless Networks
Network Slicing: Recent Advances, Taxonomy, Requirements, and Open Research Challenges
A Crowdsourcing Framework for On-Device Federated Learning
Provenance를 사용한 RPL기반 사물인터넷 상 선택적 포워딩 공격 감지
UAV-BS 환경에서 서비스 처리량 최대화를 위한 강화학습 기반의 UAV 배치 연구
Deep Learning With Persistent Homology for Orbital Angular Momentum (OAM) Decoding
Autonomous Driving Cars in Smart Cities: Recent Advances, Requirements, and Challenges
CM2D: Cost Minimization under the Competitive Market in Dynamic Social Networks
Traffic-Aware and Energy-Efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach
Reinforcement Learning-Based Vehicle-Cell Association Algorithm for Highly Mobile Millimeter Wave Communication
멀티 액세스 에지 컴퓨팅에서의 컴퓨팅 작업 마이그레이션을 위한 전송 이론적 접근
분산 클라우드 환경에서의 Knapsack 알고리즘 기반 전기차 충전정보 관리 기법 연구
Network Virtualization with Energy Efficiency Optimization for Wireless Heterogeneous Networks
When Edge Computing Meets Microgrid: A Deep Reinforcement Learning Approach
Infotainment Enabled Smart Cars: A Joint Communication, Caching, and Computation Approach
Edge Computing Assisted Joint Quality Adaptation for Mobile Video Streaming
Joint Energy Scheduling and Water Saving in Geo-Distributed Mixed-Use Buildings
Threshold Estimation Models for Linear Threshold-Based Influential User Mining in Social Networks
Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach
A cooperative and reliable rsu-assisted ieee 802.11p-based multi-channel mac protocol for vanets
Deepauc: Joint deep learning and auction for congestion-aware caching in Named Data Networking
Wireless Network Slicing: Generalized Kelly Mechanism Based Resource Allocation
A Deep Learning Model Generation Framework for Virtualized Multi-Access Edge Cache Management
Healthcare IoT-Based Affective State Mining Using a Deep Convolutional Neural Network
EMBB-URLLC Resource Slicing: A Risk-Sensitive Approach
Knapsack-based reverse influence maximization for target marketing in social networks
Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges
A comparison of interval division methods in adaptive IEEE 802.11p-based multi-channel medium access control protocols for vehicular ad hoc networks
Orchestrating Resource Management in LTE-Unlicensed Systems With Backhaul Link Constraints
Ruin Theory for Dynamic Spectrum Allocation in LTE-U Networks
Joint Cache Allocation With Incentive and User Association in Cloud Ratio Access Networks Using Hierarchical Game
5G 네트워크에서의 무선자원 할당: 신경망을 이용한 접근법
A Game-Theoretic Approach for Fair Coexistence between LTE-U and Wi-Fi Systems
Resource Allocation for Ultra-reliable and Enhanced Mobile Broadband IoT Applications in Fog Network
Edge-of-things computing framework for cost-effective provisioning of healthcare data
Facility Location Problem Approach for Distributed Drones
MAC protocols with dynamic interval schemes for VANETs
Cache Aware User Association for Wireless Heterogeneous Networks