Resource pricing and allocation in MEC enabled blockchain systems: an A3C deep reinforcement learning approach

Du, J. orcid.org/0000-0002-0845-4942, Cheng, W., Lu, G. orcid.org/0000-0002-3938-9207 et al. (4 more authors) (2022) Resource pricing and allocation in MEC enabled blockchain systems: an A3C deep reinforcement learning approach. IEEE Transactions on Network Science and Engineering, 9 (1). pp. 33-44. ISSN 2327-4697

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Item Type: Article
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Keywords: Wireless communication; Multi-access edge computing; Simulation; Reinforcement learning; Pricing; Blockchains; Resource management
Dates:
  • Published: 1 January 2022
  • Published (online): 24 March 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering
Depositing User: Symplectic Sheffield
Date Deposited: 20 Jan 2025 12:01
Last Modified: 20 Jan 2025 12:06
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/tnse.2021.3068340
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