:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jingbo, Ji, Maoxin, Wu, Qiong, Fan, Pingyi, Wang, Kezhi, Chen, Wen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.09621
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
by: Xie, Yu, et al.
Published: (2024)

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

Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks
by: Xu, Xiao, et al.
Published: (2025)

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

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

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

LLM-Empowered Cooperative Content Caching in Vehicular Fog Caching-Assisted Platoon Networks
by: Tan, Bowen, et al.
Published: (2026)

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

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

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

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

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

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

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

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

Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning
by: Shao, Zhiyu, et al.
Published: (2024)

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

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

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

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

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

Optimizing Age of Information in Internet of Vehicles Over Error-Prone Channels
by: Zhang, Cui, et al.
Published: (2024)

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

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

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

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

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

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

TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems
by: Liu, Sige, et al.
Published: (2026)

SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework
by: Peng, Yubo, et al.
Published: (2025)

Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network
by: Tu, Haoyu, et al.
Published: (2024)

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

From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks
by: She, Rui, et al.
Published: (2022)

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

Semantic Communication-Enhanced Split Federated Learning for Vehicular Networks: Architecture, Challenges, and Case Study
by: Yu, Lu, et al.
Published: (2026)

Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing
by: Sun, Ruijin, et al.
Published: (2024)