Open Access
ARTICLE
Network-Aided Intelligent Traffic Steering in 5G Mobile Networks
Dae-Young Kim1, Seokhoon Kim2, *
1 School of Computer Software, Daegu Catholic University, Geyongsan, 38430, Korea.
2 Department of Computer Software Engineering, Soonchunhyang University, Asan, 31538, Korea.
* Corresponding Author: Seokhoon Kim. Email: .
Computers, Materials & Continua 2020, 65(1), 243-261. https://doi.org/10.32604/cmc.2020.011253
Received 29 April 2020; Accepted 25 May 2020; Issue published 23 July 2020
Abstract
Recently, the fifth generation (5G) of mobile networks has been deployed and
various ranges of mobile services have been provided. The 5G mobile network supports
improved mobile broadband, ultra-low latency and densely deployed massive devices. It
allows multiple radio access technologies and interworks them for services. 5G mobile
systems employ traffic steering techniques to efficiently use multiple radio access
technologies. However, conventional traffic steering techniques do not consider dynamic
network conditions efficiently. In this paper, we propose a network aided traffic steering
technique in 5G mobile network architecture. 5G mobile systems monitor network
conditions and learn with network data. Through a machine learning algorithm such as a
feed-forward neural network, it recognizes dynamic network conditions and then
performs traffic steering. The proposed scheme controls traffic for multiple radio access
according to the ratio of measured throughput. Thus, it can be expected to improve traffic
steering efficiency. The performance of the proposed traffic steering scheme is evaluated
using extensive computer simulations.
Keywords
Cite This Article
APA Style
Kim, D., Kim, S. (2020). Network-aided intelligent traffic steering in 5G mobile networks. Computers, Materials & Continua, 65(1), 243-261. https://doi.org/10.32604/cmc.2020.011253
Vancouver Style
Kim D, Kim S. Network-aided intelligent traffic steering in 5G mobile networks. Comput Mater Contin. 2020;65(1):243-261 https://doi.org/10.32604/cmc.2020.011253
IEEE Style
D. Kim and S. Kim, "Network-Aided Intelligent Traffic Steering in 5G Mobile Networks," Comput. Mater. Contin., vol. 65, no. 1, pp. 243-261. 2020. https://doi.org/10.32604/cmc.2020.011253
Citations