Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond

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.

[1]  Min Chen,et al.  Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network , 2018, IEEE Journal on Selected Areas in Communications.

[2]  Yan Zhang,et al.  Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles , 2019, IEEE Wireless Communications.

[3]  M. Shamim Hossain,et al.  Edge-CoCaCo: Toward Joint Optimization of Computation, Caching, and Communication on Edge Cloud , 2018, IEEE Wireless Communications.

[4]  Du Xu,et al.  Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks , 2019, IEEE Internet of Things Journal.

[5]  Mohsen Guizani,et al.  Blockchain-Based Mobile Edge Computing Framework for Secure Therapy Applications , 2018, IEEE Access.

[6]  Yan Zhang,et al.  Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains , 2017, IEEE Transactions on Industrial Informatics.

[7]  Ala I. Al-Fuqaha,et al.  Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges , 2018, IEEE Communications Magazine.

[8]  Antonio Puliafito,et al.  Blockchain and IoT Integration: A Systematic Survey , 2018, Sensors.

[9]  Lucila Ohno-Machado,et al.  ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks , 2018, ArXiv.

[10]  Shengli Xie,et al.  Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks , 2019, IEEE Internet of Things Journal.

[11]  Zhetao Li,et al.  Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things , 2018, IEEE Transactions on Industrial Informatics.

[12]  Min Chen,et al.  Label-less Learning for Traffic Control in an Edge Network , 2018, IEEE Network.