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학술대회 Small Cell Offloading Algorithm Based on the Social Context
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저자
천혜림, 이승규, 김재현
발행일
201607
출처
International Conference on Ubiquitous and Future Networks (ICUFN) 2016, pp.10-12
DOI
https://dx.doi.org/10.1109/ICUFN.2016.7536969
협약과제
15ZI1100, 트래픽 용량 증대를 위한 액세스 네트워크 원천기술 연구, 김진업
초록
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 제안 키워드
Mobile networks, Offloading algorithm, Selection Probability, Small cells, Social contexts, Social networking, Traffic Demand, data rate