A handover-aware seamless video streaming scheme in heterogeneous wireless networks

Ko, Sang‐Ki; Chung, Kwangsue

doi:10.1007/s12243-013-0359-6

Cited by 8 publications

(2 citation statements)

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“…In addition to added implementation cost and effort, these approaches require sophisticated architecture and mutual agreement between stakeholders. Although interoperability is supported, an abrupt bandwidth change and substantial handover latency are unavoidable [41]. These negative effects lead to bursty packet loss of video data and error propagation in the successive frames until the next I-frame is received successfully.…”

Section: Related Workmentioning

confidence: 99%

“…During the on-the-spot offloading, users perform vertical handovers between heterogeneous wireless networks. When a vertical handover occurs, a substantial handover delay is unavoidable in the process of measurement, initialization, decision, and execution [41]. However, we try to compare the performance of the proposed scalable offloading with the more advanced on-thespot offloading.…”

Section: Performance Comparison With Existing Systemmentioning

confidence: 99%

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Game-Theoretic Scalable Offloading for Video Streaming Services over LTE and WiFi Networks

Park

Song

2018

IEEE Trans. on Mobile Comput.

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Abstract-This paper presents a game-theoretic scalable offloading system that provides seamless video streaming services by effectively offloading parts of video traffic in all video streaming services to a WiFi network to alleviate cellular network congestion. The system also consolidates multiple physical paths in a cost-effective manner. In the proposed system, the fountain encoding symbols of compressed video data are transmitted through long term evolution (LTE) and WiFi networks concurrently to flexibly control the amount of video traffic through the WiFi network as well as mitigate video quality degradation caused by wireless channel errors. Furthermore, the progressive second price auction mechanism is employed to allocate the limited LTE resources to multiple user equipment in order to maximize social welfare while converging to the ε-Nash equilibrium.Specifically, we design an application-centric resource valuation that explicitly considers both the realistic wireless network conditions and characteristics of video streaming services. In addition, the scalability and convergence properties of the proposed system are verified both theoretically and experimentally. The proposed system is implemented using network simulator 3. Simulation results are provided to demonstrate the performance improvement of the proposed system.

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Section: Related Workmentioning

confidence: 99%

Section: Performance Comparison With Existing Systemmentioning

confidence: 99%