Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond

By Yueyue Dai, Du Xu, Sabita Maharjan, Zhuang Chen, Qian He, Yan Zhang. 2019

288 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Information Systems

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Citations in the corpus

Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach (2019, methodology): “For further work, we will consider using blockchains to ensure reliability of local model updates when formulating the incentive mechanism for reliable federated learning in mobile networks [17], [18], [19], [20].”
Permissioned Blockchain and Edge Computing Empowered Privacy-Preserving Smart Grid Networks (2019, background): “The interconnection-based setting makes energy service offerings varied, which involves a large number of distinct edge infrastructure or devices [1]–[3].”
A Survey on Green 6G Network: Architecture and Technologies (2019, background): “the FCC commissioner, Jessica Rosenworcel, indicated that blockchain will play an important role in next-generation wireless network [71].”
Blockchain for Internet of Things: A Survey (2019, background): “Therefore, offloading BDA tasks to MEC servers can potentially solve the privacy-leakage and long latency issue of cloud computing with blockchain [124].”
Blockchain for 5G and Beyond Networks: A State of the Art Survey (2019, background): “For example, deep reinforcement learning (DRL) [23] has been investigated and combined with blockchain to enable secure and intelligent resource management and orchestration in 5G networks.”
Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges (2021, background): “The other futuristic technique for enhancing privacy, which is likely to be key technology in 6G, is to use blockchain networks [25], [100], [244], which are a specific type of distributed ledgers.”
Survey on blockchain based smart contracts: Applications, opportunities and challenges (2021, background): “[198] proposed a combination of blockchain and AI for resource sharing in the wireless networks.”
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence (2020, background): “0 enhances the operational efficiency of the entire manufacturing process by incorporating multiple emerging technologies, including blockchain, Internet of Things, cloud computing, and artificial intelligence [1], [2].”
Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles (2020, background): “In [13], the authors proposed a secure and intelligent resource sharing architecture for next-generation wireless networks by integrating AI and blockchain into them.”
Deep Reinforcement Learning for Cyber Security (2019, unknown): “[49]–[56], and defending against cyber attacks.”