Blockchain-Based Computing Resource Trading in Autonomous Multi-Access Edge Network Slicing: A Dueling Double Deep Q-Learning Approach
Author:
Affiliation:
1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
2. School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China
Funder
Natural Science Foundation of China
fund from the Department of Science and Technology of Sichuan Province
fund from Intelligent Terminal Key Laboratory of Sichuan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4275028/10274602/10026871.pdf?arnumber=10026871
Reference49 articles.
1. DBNS: A Distributed Blockchain-Enabled Network Slicing Framework for 5G Networks
2. Blockchain Technologies for the Internet of Things: Research Issues and Challenges
3. Leveraging Distributed Blockchain-based Scheme for Wireless Network Virtualization with Security and QoS Constraints
4. A Review on Application of Blockchain in 5G and Beyond Networks: Taxonomy, Field-Trials, Challenges and Opportunities
5. 5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges
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