Copertina

Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shao, Zhiyu, Wu, Qiong, Fan, Pingyi, Cheng, Nan, Chen, Wen, Wang, Jiangzhou, Letaief, Khaled B.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks
di: Qi, Kangwei, et al.
Pubblicazione: (2024)

Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
di: Ji, Maoxin, et al.
Pubblicazione: (2024)

Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
di: Zhang, Cui, et al.
Pubblicazione: (2024)

Semantic-Aware Resource Allocation Based on Deep Reinforcement Learning for 5G-V2X HetNets
di: Shao, Zhiyu, et al.
Pubblicazione: (2024)

Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles
di: Zhang, Cui, et al.
Pubblicazione: (2024)

Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning
di: Wang, Wenhua, et al.
Pubblicazione: (2024)

Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
di: Zhang, Wenjun, et al.
Pubblicazione: (2024)

DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing
di: Gu, Xueying, et al.
Pubblicazione: (2024)

Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
di: Xie, Yu, et al.
Pubblicazione: (2024)

PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2X
di: Wu, Qiong, et al.
Pubblicazione: (2025)

Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network
di: Wu, Qiong, et al.
Pubblicazione: (2024)

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV
di: Zhang, Zheng, et al.
Pubblicazione: (2024)

V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario
di: Wu, Qiong, et al.
Pubblicazione: (2024)

DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV
di: Gu, Xueying, et al.
Pubblicazione: (2024)

A Survey on Semantic Communications in Internet of Vehicles
di: Ye, Sha, et al.
Pubblicazione: (2025)

Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation
di: Qi, Kangwei, et al.
Pubblicazione: (2024)

Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning
di: Qi, Kangwei, et al.
Pubblicazione: (2024)

6D Movable Antenna for Internet of Vehicles: CSI-Free Dynamic Antenna Configuration
di: Ji, Maoxin, et al.
Pubblicazione: (2026)

Velocity-Adaptive Access Scheme for Semantic-Aware Vehicular Networks: Joint Fairness and AoI Optimization
di: Xu, Xiao, et al.
Pubblicazione: (2025)

Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM
di: Li, Xun, et al.
Pubblicazione: (2025)

U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning
di: Wu, Yiang, et al.
Pubblicazione: (2026)

EdgeFLow: Serverless Federated Learning via Sequential Model Migration in Edge Networks
di: Shi, Yuchen, et al.
Pubblicazione: (2026)

Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing
di: Zhang, Cui, et al.
Pubblicazione: (2024)

FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference
di: Hou, Qijun, et al.
Pubblicazione: (2026)

Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention
di: Hou, Qijun, et al.
Pubblicazione: (2026)

Semantic-Aware Cooperative Communication and Computation Framework in Vehicular Networks
di: Zhang, Jingbo, et al.
Pubblicazione: (2025)

Velocity and Density-Aware RRI Analysis and Optimization for AoI Minimization in IoV SPS
di: Ji, Maoxin, et al.
Pubblicazione: (2025)

Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV
di: Ji, Maoxin, et al.
Pubblicazione: (2026)

Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks
di: Xu, Xiao, et al.
Pubblicazione: (2025)

FedNC: A Secure and Efficient Federated Learning Method with Network Coding
di: Shi, Yuchen, et al.
Pubblicazione: (2023)

Mobility-Aware Federated Self-supervised Learning in Vehicular Network
di: Gu, Xueying, et al.
Pubblicazione: (2024)

Large Language Model-Based Task Offloading and Resource Allocation for Digital Twin Edge Computing Networks
di: Wu, Qiong, et al.
Pubblicazione: (2025)

Vehicle Selection for C-V2X Mode 4 Based Federated Edge Learning Systems
di: Wu, Qiong, et al.
Pubblicazione: (2024)

ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling
di: Zhu, Zheqi, et al.
Pubblicazione: (2022)

Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy
di: Li, Xun, et al.
Pubblicazione: (2025)

Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement Learning
di: Song, Shulin, et al.
Pubblicazione: (2024)

PPO-Based Hybrid Optimization for RIS-Assisted Semantic Vehicular Edge Computing
di: Feng, Wei, et al.
Pubblicazione: (2026)

A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning
di: Zhang, Jingbo, et al.
Pubblicazione: (2024)

Single-Step Six-Dimensional Movable Antenna Reconfiguration for High-Mobility IoV: Modeling, Analysis, and Optimization
di: Ji, Maoxin, et al.
Pubblicazione: (2026)

Optimizing System Latency for Blockchain-Encrypted Edge Computing in Internet of Vehicles
di: Zhang, Cui, et al.
Pubblicazione: (2025)