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09/19/2023
Enhanced C-V2X Mode 4 to Optimize Age of Information and Reliability for IoV
Internet of vehicles (IoV) has emerged as a key technology to realize re...
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09/19/2023
Delay-sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons
Vehicles in platoons need to process many tasks to support various real-...
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04/06/2023
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing
In the traditional vehicular network, computing tasks generated by the v...
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03/11/2023
Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems
Multi-input multi-out and non-orthogonal multiple access (MIMO-NOMA) int...
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08/03/2022
Asynchronous Federated Learning for Edge-assisted Vehicular Networks
Vehicular networks enable vehicles support real-time vehicular applicati...
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08/03/2022
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks
Federated edge learning (FEEL) technology for vehicular networks is cons...
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08/02/2022
Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method
Vehicles on the road exchange data with base station (BS) frequently thr...
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08/02/2022
Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing
Vehicular edge computing (VEC) is a promising technology to support real...
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08/02/2022
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning
The vehicular edge computing (VEC) can cache contents in different RSUs ...
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11/09/2021
Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks
Multi-Unmanned Aerial Vehicle (UAV) Networks is a promising solution to ...
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08/09/2021
Velocity-adaptive Access Scheme for MEC-assisted Platooning Networks: Access Fairness Via Data Freshness
Platooning strategy is an important part of autonomous driving technolog...
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07/30/2021
Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning
Vehicular edge computing (VEC) is envisioned as a promising approach to ...
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01/28/2021
Differential Privacy Meets Federated Learning under Communication Constraints
The performance of federated learning systems is bottlenecked by communi...
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12/02/2020
Delay Sensitive Task Offloading in the 802.11p Based Vehicular Fog Computing Systems
Vehicular fog computing (VFC) is envisioned as a promising solution to p...
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11/05/2020
Time-dependent Performance Analysis of the 802.11p-based Platooning Communications Under Disturbance
Platooning is a critical technology to realize autonomous driving. Each ...
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07/15/2020
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G
Owing to the large volume of sensed data from the enormous number of IoT...
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04/30/2020