4.7 Article

Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond

Journal

IEEE NETWORK
Volume 33, Issue 3, Pages 10-17

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.2019.1800376

Keywords

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Funding

  1. National Key Research and Development Program of China [2016YFB080800105]
  2. European Union's Horizon 2020 research and innovation programme under the Marie Skodowska-Curie [824019]
  3. Research Council of Norway [240079/F20]
  4. 111 project [1314039]
  5. National Natural Science Foundation of China [61661015]
  6. study abroad program for graduate student of Guilin University of Electronic Technology
  7. [18H86301ZT00100303]

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Blockchain and AI are promising techniques for next-generation wireless networks. Blockchain can establish a secure and decentralized resource sharing environment. Al can be explored to solve problems with uncertain, time-variant, and complex features. Both of these techniques have recently seen a surge in interest. The integration of these two techniques can further enhance the performance of wireless networks. In this article, we first propose a secure and intelligent architecture for next-generation wireless networks by integrating AI and blockchain into wireless networks to enable flexible and secure resource sharing. Then we propose a blockchain empowered content caching problem to maximize system utility, and develop a new caching scheme by utilizing deep reinforcement learning. Numerical results demonstrate the effectiveness of the proposed scheme.

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