A cross-Layer quality-of-service mapping architecture for video delivery in wireless networks

Providing quality-of-service (QoS) to video delivery in wireless networks has attracted intensive research over the years. A fundamental problem in this area is how to map QoS criterion at different layers and optimize QoS across the layers. In this paper, we investigate this problem and present a cross-layer mapping architecture for video transmission in wireless networks. There are several important building blocks in this architecture, among others, QoS interaction between video coding and transmission modules, QoS mapping mechanism, video quality adaptation, and source rate constraint derivation. We describe the design and algorithms for each building block, which either builds upon or extend the state-of-the-art algorithms that were developed without much considerations of other layers. Finally, we use simulation results to demonstrate the performance of the proposed architecture for progressive fine granularity scalability video transmission over time-varying and nonstationary wireless channel.

[1]  Abeer Alwan,et al.  Adaptive Mobile Multimedia Networks , 1996, IEEE Wirel. Commun..

[2]  Hong Shen Wang,et al.  Finite-state Markov channel-a useful model for radio communication channels , 1995 .

[3]  Venkata N. Padmanabhan,et al.  Using Differentiated Services Mechanisms to Improve Network Protocol and Application Performance , 1999 .

[4]  Gustavo de los Reyes,et al.  Error-resilient transcoding for video over wireless channels , 2000, IEEE Journal on Selected Areas in Communications.

[5]  Scott Shenker,et al.  Core-stateless fair queueing: a scalable architecture to approximate fair bandwidth allocations in high-speed networks , 2003, TNET.

[6]  David R. Smith,et al.  Digital Transmission Systems , 1980 .

[7]  Jean C. Walrand,et al.  Effective bandwidths for multiclass Markov fluids and other ATM sources , 1993, TNET.

[8]  Philip A. Chou,et al.  Cost-distortion optimized streaming media over DiffServ networks , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

[9]  Dapeng Wu,et al.  Effective capacity: a wireless link model for support of quality of service , 2003, IEEE Trans. Wirel. Commun..

[10]  Stephen P. Boyd,et al.  Joint optimization of communication rates and linear systems , 2003, IEEE Trans. Autom. Control..

[11]  Chen-Shang Chang,et al.  Effective Bandwith in High-Speed Digital Networks , 1995, IEEE J. Sel. Areas Commun..

[12]  Andrea J. Goldsmith,et al.  Design challenges for energy-constrained ad hoc wireless networks , 2002, IEEE Wirel. Commun..

[13]  Antti Toskala,et al.  WCDMA for UMTS: Radio Access for Third Generation Mobile Communications , 2000 .

[14]  Juan Carlos De Martin.  Source-driven packet marking for speech transmission over differentiated-services networks , 2001, ICASSP.

[15]  Zhi-Li Zhang.  End-to-end support for statistical quality-of-service guarantees in multimedia networks , 1997 .

[16]  JongWon Kim,et al.  Quality-of-service mapping mechanism for packet video in differentiated services network , 2001, IEEE Trans. Multim..

[17]  S. Onoe,et al.  The 3GPP proposal for IMT-2000 , 1999, IEEE Commun. Mag..

[18]  Enrico Masala,et al.  Adaptive picture slicing for distortion-based classification of video packets , 2001, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564).

[19]  Ram Ramanathan,et al.  An ad hoc wireless testbed for scalable, adaptive QoS support , 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).

[20]  Iakovos S. Venieris,et al.  QoS issues in the converged 3G wireless and wired networks , 2002 .

[21]  Feng Wu,et al.  A framework for efficient progressive fine granularity scalable video coding , 2001, IEEE Trans. Circuits Syst. Video Technol..

[22]  Ramjee Prasad,et al.  Life after third-generation mobile communications , 2001, IEEE Commun. Mag..

[23]  Parameswaran Ramanathan,et al.  Proportional differentiated services: delay differentiation and packet scheduling , 1999, SIGCOMM '99.

[24]  Mohammad Mirhakkak,et al.  Dynamic bandwidth management and adaptive applications for a variable bandwidth wireless environment , 2001, IEEE J. Sel. Areas Commun..

[25]  Antti Toskala,et al.  Wcdma for Umts , 2002 .

[26]  Raj Jain,et al.  AQuaFWiN: adaptive QoS framework for multimedia in wireless networks and its comparison with other QoS frameworks , 1999, Proceedings 24th Conference on Local Computer Networks. LCN'99.

[27]  Scott Shenker,et al.  Core-stateless fair queueing: achieving approximately fair bandwidth allocations in high speed networks , 1998, SIGCOMM '98.

[28]  M. Marsan,et al.  Shadowing variability in an urban land mobile environment at 900 MHz , 1990 .

[29]  Patrick Thiran,et al.  A short tutorial on network calculus. I. Fundamental bounds in communication networks , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

[30]  Antonio Ortega,et al.  Optimal segmentation of a VBR source for its parallel transmission over multiple ATM connections , 1997, Proceedings of International Conference on Image Processing.

[31]  Cheng-Shang Chang,et al.  Effective bandwidths of departure processes from queues with time varying capacities , 1995, Proceedings of INFOCOM'95.

[32]  C.-C. Jay Kuo,et al.  Adaptive variable length Markov chain for non-stationary fading channel modeling , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[33]  Antonio Ortega,et al.  Rate-distortion methods for image and video compression , 1998, IEEE Signal Process. Mag..