Reducing Video Interruption Probability with Cooperative Heterogeneous Networks

In this paper, we consider cooperative video transmission approaches to avoid video interruptions in a wireless real-time video streaming system. The target heterogeneous cooperative system consists of a direct link between a source and destination along with a selected number of parallel relay links. The relay link is a combination of a wide-area link and short-range link which operate in different frequency ranges. Previous contributions focus either on noncooperative video streaming systems using buffer preloading or cooperative systems which do not consider network delay jitter and its effect on interrupting video transmission. In our work, the potential gain in decreasing the interruption probability via different cooperative packet allocation protocols is evaluated analytically and with simulations, using appropriate methods from the queueing theory. We provide new insights on how the user heterogeneity in terms of time-varying packet delays influences the possibility to cooperatively solve the user problem arising from frequent video interruptions.

[1]  Yonghui Li Distributed coding for cooperative wireless networks: An overview and recent advances , 2009, IEEE Communications Magazine.

[2]  Ward Whitt,et al.  Approximating a Point Process by a Renewal Process, I: Two Basic Methods , 1982, Oper. Res..

[3]  Yonggang Wen,et al.  On file delay minimization for content uploading to media cloud via collaborative wireless network , 2011, 2011 International Conference on Wireless Communications and Signal Processing (WCSP).

[4]  Andrzej Duda,et al.  Diffusion Approximations for Time-Dependent Queueing Systems , 1986, IEEE J. Sel. Areas Commun..

[5]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[6]  Rana Azeem M. Khan,et al.  MAC Protocols for Cooperative Diversity in Wireless LANs and Wireless Sensor Networks , 2014, IEEE Communications Surveys & Tutorials.

[7]  Gregory W. Cermak Consumer Opinions About Frequency of Artifacts in Digital Video , 2009, IEEE Journal of Selected Topics in Signal Processing.

[8]  Matt W. Mutka,et al.  Using cooperative multiple paths to reduce file download latency in cellular data networks , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[9]  Khaled Salah,et al.  Statistical analysis of H.264 video frame size distribution , 2011, IET Commun..

[10]  Khaled Ben Letaief,et al.  Rayleigh fading networks: a cross-layer way , 2009, IEEE Transactions on Communications.

[11]  Eitan Altman,et al.  Probabilistic analysis of buffer starvation in Markovian queues , 2011, 2012 Proceedings IEEE INFOCOM.

[12]  Xuemin Shen,et al.  Impact of Network Dynamics on User's Video Quality: Analytical Framework and QoS Provision , 2010, IEEE Transactions on Multimedia.

[13]  Xiaoyan Hong,et al.  Scalable routing protocols for mobile ad hoc networks , 2002, IEEE Netw..