Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming

Seonghoon Moon; Juwan Yoo; Songkuk Kim

doi:10.1109/MobServ.2015.28

Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming

Seonghoon Moon, Juwan Yoo, Songkuk Kim

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

The proliferation of mobile devices such as smartphones and tablet PCs have accelerated the online video consumption over a wireless network. To guarantee the stable HD video streaming, the steady and reliable wireless mesh is necessary to satisfy QoS of real-time video services. In this paper, we propose a reliable video delivery system with the split-layer SVC encoding and real-time adaptive interface selection over LTE and WiFi links. Through the adaptive interface selection, the system aims to ensure the maximizing video quality which the bandwidth of LTE/WiFi accommodates. Additionally, we offer an optimization scheme for mobile users' cost-effectiveness by controlling the interface selection policies based on users' remaining daily or monthly LTE data. We evaluate the proposed system in an emulated and a real-world heterogeneous wireless network environments. The results show that the proposed system not only achieves to guarantee the highest quality of video frames via WiFi and LTE simultaneous connection, but also efficiently saves LTE data consumption for cost-effectiveness to the mobile client.

Original language	English
Title of host publication	Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015
Editors	Jia Zhang, Onur Altintas
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	134-141
Number of pages	8
ISBN (Electronic)	9781467372848
DOIs	https://doi.org/10.1109/MobServ.2015.28
Publication status	Published - 2015 Aug 26
Event	3rd IEEE International Conference on Mobile Services, MS 2015 - New York, United States Duration: 2015 Jun 27 → 2015 Jul 2

Publication series

Name	Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015

Other

Other	3rd IEEE International Conference on Mobile Services, MS 2015
Country	United States
City	New York
Period	15/6/27 → 15/7/2

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Communication
Computer Networks and Communications

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10.1109/MobServ.2015.28

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Moon, S., Yoo, J., & Kim, S. (2015). Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming. In J. Zhang, & O. Altintas (Eds.), Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015 (pp. 134-141). [7226682] (Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MobServ.2015.28

Moon, Seonghoon ; Yoo, Juwan ; Kim, Songkuk. / Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming. Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015. editor / Jia Zhang ; Onur Altintas. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 134-141 (Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015).

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title = "Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming",

abstract = "The proliferation of mobile devices such as smartphones and tablet PCs have accelerated the online video consumption over a wireless network. To guarantee the stable HD video streaming, the steady and reliable wireless mesh is necessary to satisfy QoS of real-time video services. In this paper, we propose a reliable video delivery system with the split-layer SVC encoding and real-time adaptive interface selection over LTE and WiFi links. Through the adaptive interface selection, the system aims to ensure the maximizing video quality which the bandwidth of LTE/WiFi accommodates. Additionally, we offer an optimization scheme for mobile users' cost-effectiveness by controlling the interface selection policies based on users' remaining daily or monthly LTE data. We evaluate the proposed system in an emulated and a real-world heterogeneous wireless network environments. The results show that the proposed system not only achieves to guarantee the highest quality of video frames via WiFi and LTE simultaneous connection, but also efficiently saves LTE data consumption for cost-effectiveness to the mobile client.",

author = "Seonghoon Moon and Juwan Yoo and Songkuk Kim",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd IEEE International Conference on Mobile Services, MS 2015 ; Conference date: 27-06-2015 Through 02-07-2015",

year = "2015",

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series = "Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015",

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Moon, S, Yoo, J & Kim, S 2015, Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming. in J Zhang & O Altintas (eds), Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015., 7226682, Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015, Institute of Electrical and Electronics Engineers Inc., pp. 134-141, 3rd IEEE International Conference on Mobile Services, MS 2015, New York, United States, 15/6/27. https://doi.org/10.1109/MobServ.2015.28

Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming. / Moon, Seonghoon; Yoo, Juwan; Kim, Songkuk.

Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015. ed. / Jia Zhang; Onur Altintas. Institute of Electrical and Electronics Engineers Inc., 2015. p. 134-141 7226682 (Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming

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PY - 2015/8/26

Y1 - 2015/8/26

N2 - The proliferation of mobile devices such as smartphones and tablet PCs have accelerated the online video consumption over a wireless network. To guarantee the stable HD video streaming, the steady and reliable wireless mesh is necessary to satisfy QoS of real-time video services. In this paper, we propose a reliable video delivery system with the split-layer SVC encoding and real-time adaptive interface selection over LTE and WiFi links. Through the adaptive interface selection, the system aims to ensure the maximizing video quality which the bandwidth of LTE/WiFi accommodates. Additionally, we offer an optimization scheme for mobile users' cost-effectiveness by controlling the interface selection policies based on users' remaining daily or monthly LTE data. We evaluate the proposed system in an emulated and a real-world heterogeneous wireless network environments. The results show that the proposed system not only achieves to guarantee the highest quality of video frames via WiFi and LTE simultaneous connection, but also efficiently saves LTE data consumption for cost-effectiveness to the mobile client.

AB - The proliferation of mobile devices such as smartphones and tablet PCs have accelerated the online video consumption over a wireless network. To guarantee the stable HD video streaming, the steady and reliable wireless mesh is necessary to satisfy QoS of real-time video services. In this paper, we propose a reliable video delivery system with the split-layer SVC encoding and real-time adaptive interface selection over LTE and WiFi links. Through the adaptive interface selection, the system aims to ensure the maximizing video quality which the bandwidth of LTE/WiFi accommodates. Additionally, we offer an optimization scheme for mobile users' cost-effectiveness by controlling the interface selection policies based on users' remaining daily or monthly LTE data. We evaluate the proposed system in an emulated and a real-world heterogeneous wireless network environments. The results show that the proposed system not only achieves to guarantee the highest quality of video frames via WiFi and LTE simultaneous connection, but also efficiently saves LTE data consumption for cost-effectiveness to the mobile client.

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BT - Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015

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Moon S, Yoo J, Kim S. Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming. In Zhang J, Altintas O, editors, Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 134-141. 7226682. (Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015). https://doi.org/10.1109/MobServ.2015.28

Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming

Abstract

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