TY - GEN
T1 - Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming
AU - Moon, Seonghoon
AU - Yoo, Juwan
AU - Kim, Songkuk
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.
UR - http://www.scopus.com/inward/record.url?scp=84954109264&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954109264&partnerID=8YFLogxK
U2 - 10.1109/MobServ.2015.28
DO - 10.1109/MobServ.2015.28
M3 - Conference contribution
AN - SCOPUS:84954109264
T3 - Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015
SP - 134
EP - 141
BT - Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015
A2 - Zhang, Jia
A2 - Altintas, Onur
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Mobile Services, MS 2015
Y2 - 27 June 2015 through 2 July 2015
ER -