A Hybrid Proactive Caching System in Vehicular Networks Based on Contextual Multi-Armed Bandit Learning

A Hybrid Proactive Caching System in Vehicular Networks Based on Contextual Multi-Armed Bandit Learning

Proactive edge caching has been regarded as an effective approach to satisfy user experience in mobile networks by providing seamless content transmission and reducing network delay. This is particularly useful in rapidly changing vehicular networks. This paper addresses the proactive edge caching (...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Qiao Wang, David Grace
Natura:	Articolo
Lingua:	English
Pubblicazione:	IEEE 2023-01-01
Serie:	IEEE Access
Soggetti:	Proactive edge caching reinforcement learning multi-armed bandit learning mobility prediction vehicular networks roadside units (RSUs)
Accesso online:	https://ieeexplore.ieee.org/document/10077392/

Documenti analoghi

Proactive Edge Caching in Vehicular Networks: An Online Bandit Learning Approach
di: Qiao Wang, et al.
Pubblicazione: (2022-01-01)

Optimized Distributed Proactive Caching Based on Movement Probability of Vehicles in Content-Centric Vehicular Networks
di: Seungmin Oh, et al.
Pubblicazione: (2022-04-01)

Mobility-Aware Proactive Edge Caching Optimization Scheme in Information-Centric IoV Networks
di: Salahadin Seid Musa, et al.
Pubblicazione: (2022-02-01)

Design of Multi-Armed Bandit-Based Routing for in-Network Caching
di: Gen Tabei, et al.
Pubblicazione: (2023-01-01)

Hedging using reinforcement learning: Contextual k-armed bandit versus Q-learning
di: Loris Cannelli, et al.
Pubblicazione: (2023-11-01)

Efficient Vehicular Edge Computing: A Novel Approach With Asynchronous Federated and Deep Reinforcement Learning for Content Caching in VEC
di: Wentao Yang, et al.
Pubblicazione: (2024-01-01)

Collaborative Multicast Proactive Caching Scheme Based on AAE
di: LIU Xin, WANG Jun, SONG Qiao-feng, LIU Jia-hao
Pubblicazione: (2022-09-01)

Smart Proactive Caching: Paving the Way for Efficient Caching in Vehicular ICN
di: Ihsan Ullah, et al.
Pubblicazione: (2024-01-01)

Deep Reinforcement Learning for Edge Caching with Mobility Prediction in Vehicular Networks
di: Yoonjeong Choi, et al.
Pubblicazione: (2023-02-01)

On Learning Suitable Caching Policies for In-Network Caching
di: Stefani Pires, et al.
Pubblicazione: (2024-01-01)

Conservative Contextual Combinatorial Cascading Bandit
di: Kun Wang
Pubblicazione: (2021-01-01)

Multi-armed linear bandits with latent biases
di: Kang, Qiyu, et al.
Pubblicazione: (2024)

Recursive deep reinforcement learning-based collaborative caching relay algorithm in mobile vehicular edge network
di: WU Honghai, et al.
Pubblicazione: (2024-11-01)

Adaptive Noise Exploration for Neural Contextual Multi-Armed Bandits
di: Chi Wang, et al.
Pubblicazione: (2025-01-01)

Dynamic Grouping within Minimax Optimal Strategy for Stochastic Multi-ArmedBandits in Reinforcement Learning Recommendation
di: Jiamei Feng, et al.
Pubblicazione: (2024-04-01)

Signal detection models as contextual bandits
di: Thomas N. Sherratt, et al.
Pubblicazione: (2023-06-01)

Contextual Multi-Armed Bandit With Costly Feature Observation in Non-Stationary Environments
di: Saeed Ghoorchian, et al.
Pubblicazione: (2024-01-01)

Bandit Learning-Based Distributed Computation in Fog Computing Networks: A Survey
di: Hoa Tran-Dang, et al.
Pubblicazione: (2023-01-01)

Multi-Armed Bandits in Brain-Computer Interfaces
di: Frida Heskebeck, et al.
Pubblicazione: (2022-07-01)

An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits
di: Isaac J. Sledge, et al.
Pubblicazione: (2018-02-01)

Intelligent Caching for Mobile Video Streaming in Vehicular Networks with Deep Reinforcement Learning
di: Zhaohui Luo, et al.
Pubblicazione: (2022-11-01)

Multi-arm bandit-led clustering in federated learning
di: Zhao, Joe Chen Xuan
Pubblicazione: (2024)

Distributed Weighted Data Aggregation Algorithm in End-to-Edge Communication Networks Based on Multi-armed Bandit
di: Yifei ZOU, Senmao QI, Cong'an XU, Dongxiao YU
Pubblicazione: (2023-02-01)

Mobility-Aware Edge Caching for Minimizing Latency in Vehicular Networks
di: Yousef AlNagar, et al.
Pubblicazione: (2022-01-01)

Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous Internet of Things Networks
di: So Hasegawa, et al.
Pubblicazione: (2022-07-01)

Multi-armed bandit based device scheduling for crowdsensing in power grids
di: Jie Zhao, et al.
Pubblicazione: (2023-02-01)

Maximum Entropy Exploration in Contextual Bandits with Neural Networks and Energy Based Models
di: Adam Elwood, et al.
Pubblicazione: (2023-01-01)

Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm
di: Emanuele Cavenaghi, et al.
Pubblicazione: (2021-03-01)

Bandit Learning-Based Edge Caching for 360-Degree Video Streaming With Switching Cost
di: Zhendong Yu, et al.
Pubblicazione: (2022-01-01)

Learning the Truth in Social Networks Using Multi-Armed Bandit
di: Olusola T. Odeyomi
Pubblicazione: (2020-01-01)

Transfer restless multi-armed bandit policy for energy-efficient heterogeneous cellular network
di: Navikkumar Modi, et al.
Pubblicazione: (2019-10-01)

Demystifying the Two-Armed Futurity Bandit’s Unfairness and Apparent Fairness
di: Huaijin Liang, et al.
Pubblicazione: (2024-05-01)

Causal contextual bandits with one-shot data integration
di: Chandrasekar Subramanian, et al.
Pubblicazione: (2024-12-01)

Cooperative Content Caching Framework Using Cuckoo Search Optimization in Vehicular Edge Networks
di: Sardar Khaliq uz Zaman, et al.
Pubblicazione: (2023-01-01)

UAV-Assisted Caching Strategy Based on Content Cache Pricing in Vehicular Networks
di: Ting Gong, et al.
Pubblicazione: (2023-08-01)

Exploring Multi-Armed Bandit (MAB) as an AI Tool for Optimising GMA-WAAM Path Planning
di: Rafael Pereira Ferreira, et al.
Pubblicazione: (2024-05-01)

Computing Offloading Based on TD3 Algorithm in Cache-Assisted Vehicular NOMA–MEC Networks
di: Tianqing Zhou, et al.
Pubblicazione: (2023-11-01)

Adversarial Autoencoder and Multi-Armed Bandit for Dynamic Difficulty Adjustment in Immersive Virtual Reality for Rehabilitation: Application to Hand Movement
di: Kenta Kamikokuryo, et al.
Pubblicazione: (2022-06-01)

A Contextual-Bandit-Based Approach for Informed Decision-Making in Clinical Trials
di: Yogatheesan Varatharajah, et al.
Pubblicazione: (2022-08-01)

Efficient Data Dissemination in Cooperative Multi-RSU Vehicular Ad Hoc Networks (VANETs)
di: Nawaz Ali, G.G.Md., et al.
Pubblicazione: (2016)