Seamless Dynamic Adaptive Streaming in LTE/Wi-Fi Integrated Network under Smartphone Resource Constraints
- Authors
- Koo, J.; Yi, J.; Kim, J.; Hoque, M.A.; Choi, S.
- Issue Date
- Jul-2019
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Adaptive Video Streaming; Bit rate; DASH; Long Term Evolution; LTE/Wi-Fi Networks; Lyapunov Optimization; Optimization; Quality assessment; Smartphone; Streaming media; Video recording; Wireless fidelity
- Citation
- IEEE Transactions on Mobile Computing, v.18, no.7, pp 1647 - 1660
- Pages
- 14
- Journal Title
- IEEE Transactions on Mobile Computing
- Volume
- 18
- Number
- 7
- Start Page
- 1647
- End Page
- 1660
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3411
- DOI
- 10.1109/TMC.2018.2863234
- ISSN
- 1536-1233
1558-0660
- Abstract
- Exploiting both LTE and Wi-Fi links simultaneously enhances the performance of video streaming services in a smartphone. However, it is challenging to achieve seamless and high quality video while saving battery energy and LTE data usage to prolong the usage time of a smartphone. In this paper, we propose REQUEST, a video chunk request policy for Dynamic Adaptive Streaming over HTTP (DASH) in a smartphone, which can utilize both LTE and Wi-Fi. REQUEST enables seamless DASH video streaming with near optimal video quality under given budgets of battery energy and LTE data usage. Through extensive simulation and measurement in a real environment, we demonstrate that REQUEST significantly outperforms other existing schemes in terms of average video bitrate, rebuffering, and resource waste. IEEE
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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