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Conference Paper Small Cell Offloading Algorithm Based on the Social Context
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Authors
Hye-Rim Cheon, Seung-Que Lee, Jae-Hyun Kim
Issue Date
2016-07
Citation
International Conference on Ubiquitous and Future Networks (ICUFN) 2016, pp.10-12
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICUFN.2016.7536969
Abstract
Traffic demand increases explosively due to the developed services and it becomes the mobile network's load. One of these services, social networking, generates a large amount of traffic. To solve it, we propose a small cell offloading algorithm using social context. In the proposed algorithm, to satisfy the effective data rate maximally, we estimate the application selection probability using social context and determine the offloading ratio according to this. By simulation, the effective data rate achievement level of the proposed algorithm is higher than the conventional one with similar offloading ratio.
KSP Keywords
Mobile networks, Offloading algorithm, Selection Probability, Small cells, Social contexts, Social networking, Traffic Demand, data rate