A Reinforcement Learning Approach to Access Management in Wireless Cellular Networks
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-14
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
In smart city applications, huge numbers of devices need to be connected in an autonomous manner.
3rd Generation Partnership Project (3GPP) specifies that Machine Type Communication (MTC) should be used to handle data transmission among a large number of devices.
However, the data transmission rates are highly variable, and this brings about a congestion problem.
To tackle this problem, the use of Access Class Barring (ACB) is recommended to restrict the number of access attempts allowed in data transmission by utilizing strategic parameters.
In this paper, we model the problem of determining the strategic parameters with a reinforcement learning algorithm.
In our model, the system evolves to minimize both the collision rate and the access delay.
The experimental results show that our scheme improves system performance in terms of the access success rate, the failure rate, the collision rate, and the access delay.
American Psychological Association (APA)
Moon, Jihun& Lim, Yujin. 2017. A Reinforcement Learning Approach to Access Management in Wireless Cellular Networks. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1206045
Modern Language Association (MLA)
Moon, Jihun& Lim, Yujin. A Reinforcement Learning Approach to Access Management in Wireless Cellular Networks. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1206045
American Medical Association (AMA)
Moon, Jihun& Lim, Yujin. A Reinforcement Learning Approach to Access Management in Wireless Cellular Networks. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1206045
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206045