Title | ||
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Deep Reinforcement Learning for Edge Caching and Content Delivery in Internet of Vehicles |
Abstract | ||
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To enable the emerging vehicular applications and multimedia services in an Internet of Vehicles (IoV) framework, edge caching is a promising paradigm which can cache content in proximity to vehicles, and thus alleviate heavy load on backhaul links and contribute in reducing transmission latency. However, in a multi-access vehicular network, complex content delivery and high mobility of vehicles introduce new challenges to support edge caching in a dynamic environment. Deep Reinforcement Learning (DRL) is an emerging technique to solve the issue with time-varying feature. In this paper, we utilize DRL to design an optimal vehicular edge caching and content delivery strategy for minimizing content delivery latency. We first propose a multiaccess edge caching and content delivery framework in vehicular networks. Then, we formulate the vehicular edge caching and content delivery problem and propose a novel DRL algorithm to solve it. Numerical results demonstrate the effectiveness of proposed DRL-based algorithm, compared to two benchmark solutions. |
Year | DOI | Venue |
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2019 | 10.1109/ICCChina.2019.8855951 | 2019 IEEE/CIC International Conference on Communications in China (ICCC) |
Keywords | Field | DocType |
content delivery strategy,multiaccess edge caching,content delivery framework,vehicular networks,content delivery problem,multiaccess vehicular network,complex content delivery,optimal vehicular edge caching,vehicular applications,Deep Reinforcement Learning,Internet of Vehicles framework,content delivery latency,multimedia services | Content delivery,Backhaul (telecommunications),Computer science,Cache,Latency (engineering),Computer network,Transmission latency,Vehicular ad hoc network,The Internet,Reinforcement learning | Conference |
ISSN | ISBN | Citations |
2377-8644 | 978-1-7281-0733-2 | 0 |
PageRank | References | Authors |
0.34 | 10 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yueyue Dai | 1 | 1 | 1.36 |
Xu Du | 2 | 37 | 15.92 |
Yunlong Lu | 3 | 0 | 0.34 |
Sabita Maharjan | 4 | 1078 | 52.89 |
Yan Zhang | 5 | 5818 | 354.13 |