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5G Message Cooperative Content Caching Scheme for Blockchain-Enabled Mobile Edge Networks Using Reinforcement Learning

Published: 15 July 2022 Publication History

Abstract

In order to meet the rapid growth of rich media message service demands of mobile users in 5G environment, content caching in mobile edge network is an effective solution. In this paper, deep reinforcement learning and blockchain technology are used to solve the problem of Content Cooperative Caching and routing requests between base stations. A 5G Message Cooperative Content Caching Scheme for blockchain-enabled is proposed. aiming to minimize the average transmission delay of user requests on the premise of satisfying quality of service for the user. Deep reinforcement learning is used to train the optimal cache decision, and blockchain is used to publish the cache file directories and record the query cache log, while gathering global information for decision makers. Simulation results show that the performance of the proposed algorithm in reducing system response delay and improving cache hit rate is significantly better than the traditional LRU and FIFO algorithms.

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          cover image Guide Proceedings
          Artificial Intelligence and Security: 8th International Conference, ICAIS 2022, Qinghai, China, July 15–20, 2022, Proceedings, Part I
          Jul 2022
          733 pages
          ISBN:978-3-031-06793-8
          DOI:10.1007/978-3-031-06794-5
          • Editors:
          • Xingming Sun,
          • Xiaorui Zhang,
          • Zhihua Xia,
          • Elisa Bertino

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          Springer-Verlag

          Berlin, Heidelberg

          Publication History

          Published: 15 July 2022

          Author Tags

          1. 5G message
          2. Content caching
          3. Blockchain
          4. Mobile edge computing
          5. Deep reinforcement learning

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