|
|
Deep reinforcement learning based initial access for ultra dense user-centric systems |
|---|---|
| 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 |
| Persistent link: | http://urn.fi/URN:NBN:fi:oulu-202011033089 |
| 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 |
| Subjects: | |
| 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. |