Autonomous Wireless System Optimization Method based on Cross-layer Modeling using Machine Learning

Koji Oshima, Jing Ma, Mikio Hasegawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cognitive radio technologies have been developed to utilize the limited spectrum resources and optimize the behavior of the radio system, along with the variable radio status, by intelligent learning. The optimization can be achieved through clarifying the relationship among certain variables and target performance indices. However, today's wireless systems are becoming increasingly complex due to the advances of wireless technologies; this increases the number of variables of the optimization problem, which makes the relations among the variables and system performance to be formulated with difficulty. Recent advance in the field of machine learning technologies can help us overcome such difficulties by adopting for cognitive radio systems. This paper proposes a cross-layer modeling of wireless system using machine learning and optimization method based on cognitive cycle. The experimental evaluation is shown by applying the method to the IEEE 802.11 wireless local area network.

Original languageEnglish
Title of host publicationICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages239-244
Number of pages6
ISBN (Electronic)9781728113395
DOIs
Publication statusPublished - Jul 2019
Event11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 - Zagreb, Croatia
Duration: 2 Jul 20195 Jul 2019

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2019-July
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
CountryCroatia
CityZagreb
Period2/07/195/07/19

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Keywords

  • Cognitive Radio
  • Cross-layer
  • Machine Learning
  • Optimization
  • Wireless LAN

Cite this

Oshima, K., Ma, J., & Hasegawa, M. (2019). Autonomous Wireless System Optimization Method based on Cross-layer Modeling using Machine Learning. In ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks (pp. 239-244). [8806031] (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2019.8806031