Traffic Offloading Algorithm Using Social Context in MEC Environment 


Vol. 42,  No. 2, pp. 514-522, Feb.  2017


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  Abstract

Traffic offloading is a promising solution to solve the explosive growth of mobile traffic. One of offloading schemes, in LIPA/SIPTO(Local IP Access and Selected IP Traffic Offload) offloading, we can offload mobile traffic that can satisfy QoS requirement for application. In addition, it is necessary for traffic offloading using social context due to large traffic from SNS. Thus, we propose the LIPA/SIPTO offloading algorithm using social context. We define the application selection probability using social context, the application popularity. Then, we find the optimal offloading weighting factor to maximize the QoS(Quality of Service) of small cell users in term of effective data rate. Finally, we determine the offloading ratio by this application selection probability and optimal offloading weighting factor. By performance analysis, the effective data rate achievement ratio of the proposed algorithm is similar with the conventional one although the total offloading ratio of the proposed algorithm is about 46 percent of the conventional one.

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  Cite this article

[IEEE Style]

H. Cheon, S. Lee, J. Kim, "Traffic Offloading Algorithm Using Social Context in MEC Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 2, pp. 514-522, 2017. DOI: .

[ACM Style]

Hye-Rim Cheon, Seung-Que Lee, and Jae-Hyun Kim. 2017. Traffic Offloading Algorithm Using Social Context in MEC Environment. The Journal of Korean Institute of Communications and Information Sciences, 42, 2, (2017), 514-522. DOI: .

[KICS Style]

Hye-Rim Cheon, Seung-Que Lee, Jae-Hyun Kim, "Traffic Offloading Algorithm Using Social Context in MEC Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 2, pp. 514-522, 2. 2017.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880