Single-State Q-learning for Self-organized Radio Resource Management in Dual-hop 5G High Capacity Density Networks

Jiang, Tao, Zhao, Qiyang, Grace, David orcid.org/0000-0003-4493-7498 et al. (2 more authors) (2016) Single-State Q-learning for Self-organized Radio Resource Management in Dual-hop 5G High Capacity Density Networks. Transactions on Emerging Telecommunications Technologies. 1628–1640. ISSN 2161-3915

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 Wiley. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Dates:
  • Accepted: 28 December 2015
  • Published (online): 4 February 2016
  • Published: 2016
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 09 Mar 2016 14:41
Last Modified: 12 Apr 2024 23:09
Published Version: https://doi.org/10.1002/ett.3019
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1002/ett.3019

Download

Filename: SSQL_based_Self_organizing_RRM_for_dual_hop_5G_final_accepted.pdf

Description: SSQL_based_Self-organizing_RRM_for_dual-hop_5G_final_accepted

Export

Statistics