University of Oulu

Deep reinforcement learning based initial access for ultra dense user-centric systems

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Author: Mohamed Insaf, Mohamed1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Electrical Engineering
Format: ebook
Version: published version
Access: restricted
  Theses with restricted access are only available for reading on the e-thesis workstations.
Pages: 37
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Language: English
Published: Oulu : M. Mohamed Insaf, 2020
Publish Date: 2020-11-03
Thesis type: Master's thesis (tech)
Tutor: Rajatheva, Rajatheva
Reviewer: Rajatheva, Rajatheva
Ali, Samad
Copyright information: © Mohamed Mohamed Insaf, 2020. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.