|
Title
|
|
|
|
Augmented Wi-Fi : an AI-based Wi-Fi management framework for Wi-Fi/LTE coexistence
| |
|
Author
|
|
|
|
| |
|
Abstract
|
|
|
|
| Recently, the operation of LTE in unlicensed bands has been proposed to cope with the ever-increasing mobile traffic demand. However, the deployment of LTE in such bands implies sharing spectrum with mature technologies such as Wi-Fi. Several studies have discussed this coexistence problem by suggesting that LTE implements different adaptation mechanisms that allow transmission possibilities to Wi-Fi. While such adaptation mechanisms exist, they still negatively impact Wi-Fi performance, mainly due to the lack of collaboration/coordination mechanisms that inform about the co-located networks’ activities. In this paper, we propose a distributed spectrum management framework that enhances the performance of Wi-Fi, as a particular case, by detecting harmful co-located wireless networks and changes the Wi-Fi’s operating central frequency to avoid them. The framework is based on a Convolutional Neural Network (CNN) that can identify different wireless technologies and provides spectrum usage statistics. Experiments were carried out in a real-life testbed, and the results show that Wi-Fi maintains its performance when using our framework. This translates in an increase of at least 40% on the overall throughput compared to a non-managed operation of Wi-Fi. |
| |
|
Language
|
|
|
|
English
| |
|
Source (journal)
|
|
|
|
International Conference on Network and Service Management : [proceedings]. - Piscataway, NJ
| |
|
Source (book)
|
|
|
|
16th International Conference on Network and Service Management (CNSM), 2nd International Workshop on Analytics for Service and Application, Management (AnServApp), 1st International Workshop on the Future, Evolution of Internet Protocols (IPFuture), 2-6 November, 2020, Izmir, Turkey
| |
|
Publication
|
|
|
|
Piscataway, NJ
:
IEEE
,
2020
| |
|
ISSN
|
|
|
|
2165-9605
| |
|
ISBN
|
|
|
|
978-3-903176-31-7
| |
|
DOI
|
|
|
|
10.23919/CNSM50824.2020.9269064
| |
|
Volume/pages
|
|
|
|
p. 1-9
| |
|
ISI
|
|
|
|
000612229200027
| |
|
Full text (Publisher's DOI)
|
|
|
|
| |
|
Full text (publisher's version - intranet only)
|
|
|
|
| |
|