Blockchain for Dynamic Spectrum Access and Network Slicing: A Review
Author:
Affiliation:
1. School of Computing and Engineering, University of Huddersfield, Huddersfield, U.K
2. School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Funder
Horizon 2020 Marie Skł odowska-Curie Innovative Training Networks Program ‘‘Mobility and Training for Beyond 5G Ecosystems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10041918.pdf?arnumber=10041918
Reference132 articles.
1. Blockchain-Enabled Resource Trading and Deep Reinforcement Learning Based Autonomous RAN Slicing in 5G
2. Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network
3. AI-Assisted Network-Slicing Based Next-Generation Wireless Networks
4. Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning
5. An end-to-end network slicing framework for 5G wireless communication systems;li;arXiv 1608 00572,2016
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