Summary
International Conference on Emerging Technologies for Communications
2020
Session Number:D2
Session:
Number:D2-5
Evaluation of Network Resource Allocation Based on Monitored Traffic Condition inspired by Human Brain Cognition Process
Semin AN, Yuichi OHSITA, Masayuki MURATA,
pp.-
Publication Date:2020/12/2
Online ISSN:2188-5079
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Summary:
Many kinds of services have been provided through networks. Traffic from such services should be accommodated so as to satisfy the requirements which depend on services. One approach to accommodating traffic so as to satisfy the various requirements is to use the network slicing, which provides multiple network slices for the network services. Resources for each slice should be dynamically allocated so as to follow the traffic changes. Because the real-world condition has a large impact on traffic changes, real-world information is useful to predict future traffic. However, the relationship between real-world information and future traffic is difficult to model. Therefore, we have proposed a method to handle real-world information to predict future traffic and dynamically control the resources inspired by the human brain cognition process. In this paper, we apply the method to the controller of network slices for the connected vehicles. We demonstrate that the road traffic information is useful to the resource allocation in the network slice for the connected vehicles.