Authors | Y. Dai, D. Xu, S. Maharjan, Z. Chen, Q. He and Y. Zhang |
Title | Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond |
Afilliation | Communication Systems |
Project(s) | Simula Metropolitan Center for Digital Engineering, The Center for Resilient Networks and Applications |
Status | Published |
Publication Type | Journal Article |
Year of Publication | 2019 |
Journal | IEEE Network |
Volume | 33 |
Issue | 3 |
Number | 10-17 |
Date Published | 05/2019 |
Publisher | IEEE |
Abstract | Blockchain and AI are promising techniques for next-generation wireless networks. Blockchain can establish a secure and decentralized resource sharing environment. AI 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. |
Citation Key | 26973 |