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Energy-efficient Multicasting of Scalable Video Streams over WiMAX Networks

Energy-efficient Multicasting of Scalable Video Streams over WiMAX Networks. Somsubhra Sharangi, Ramesh Krishnamurti, Mohamed Hefeeda, Senior Member , IEEE Department of Computer Science, Simon Fraser University, Canada IEEE Transactions on Multimedia, vol. 13, no. 1, Feb. 2011, pp. 102-115.

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Energy-efficient Multicasting of Scalable Video Streams over WiMAX Networks

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  1. Energy-efficient Multicasting of Scalable Video Streams over WiMAX Networks Somsubhra Sharangi, Ramesh Krishnamurti, Mohamed Hefeeda, Senior Member, IEEE Department of Computer Science, Simon Fraser University, Canada IEEE Transactions on Multimedia, vol. 13, no. 1, Feb. 2011, pp. 102-115.

  2. Outline • Introduction • Motivation • Problem • Proposed multicasting algorithm • Substream Selection Algorithm (SSA) • Energy Efficient Substream Allocation (EESA) • Simulation • Conclusion

  3. Introduction • WiMAX supports various network services. • One of these services is the Multicast and Broadcast Service (MBS), which can be used to deliver multimedia traffic to large-scale user communities. • Yota Telecom has recently started a mobile TV service with 25 channels over its 10 Mbps mobile WiMAX network. • UDCast has announced plans for developing broadcast TV service supporting around 50 channels over mobile WiMAX.

  4. Introduction • Mobile Video Multicast/Broadcast • Mobile TV users to increase by 55% by 2015 [VisionGain10] • Competing Technologies • LTE MBMS ⇒ Low Bandwidth • WiMAX Advantage • High Bandwidth • Better Video Quality ⇒ Higher Revenue

  5. Introduction • Multicast/Broadcast Service Data Area in Downlink Frame

  6. Motivation • H.264 Scalable Video Coding • Temporal, spatial and quality scalability • Embedded stream metadata information • Supplementary Enhancement Information (SEI) Message • Video Quality: measurement of video signal peak signal-to-noise ratio (PSNR)

  7. Motivation • Example of Scalable Videos Sub-stream l Stream s

  8. Motivation

  9. Problem • This paper focuses on optimally utilizing the WiMAX Multicast/Broadcast Service to stream multiple scalable videos to mobile receivers. • Select the optimal subset of layers from each scalable stream • Maximize the average quality of all selected substreams

  10. Network Environment

  11. Network Environment • A number of scalable video streams are available at a WiMAX base station. • Each scalable stream s, 1  s  S, has at most L layers. … … q12, qsl: PSNR of substream sl r31, rsl: data rate of substream sl

  12. Network Environment • The average video quality is maximized within a scheduling window. • The Scheduling window has P frames • Each frame can accommodateF amount of data and takes time  • Maximum amount of data that can be transmitted within the scheduling window is given as C = PF P frames

  13. Substream Selection Algorithm (SSA)

  14. Substream Selection Algorithm (SSA) • Let V(s, q) denote the set of substreams from stream 1, …, s • no two substreams are selected from the same stream • total quality of the selected substreams is q. V(s, q)= {sl}={11, 22, 32}, where q=3398+3845+3468

  15. Substream Selection Algorithm (SSA) • Let R(s, q) denote the sum of data rates selected in V(s, q) R(s, q)= 187+824+848, where q=3398+3845+3468

  16. Substream Selection Algorithm (SSA) C=1500

  17. Substream Selection Algorithm (SSA) C=1500 R(1,3398)=187 (total) q=3398 3398 3615 3715 3845 187 380 548 824

  18. Substream Selection Algorithm (SSA) x 7113 C=1500 R(1,3398)=187 (total) q=3398+3715=7113 R(1,7113)=? R(2,7713)=187+548=735 3398 3615 3715 3845 7113 187 380 548 824 735

  19. Substream Selection Algorithm (SSA) C=1500

  20. Substream Selection Algorithm (SSA) C=1500

  21. Substream Selection Algorithm (SSA) • Lower bound: Q0 • Upper bound: 2Q0  =848-466=382  =3468-3294=174  / = 0.445

  22. Energy Efficient Substream Allocation (EESA)

  23. SimulationSetup • Video Encoding: H.264/SVC format • Channel: 10 MHz • Modulation: 16-QAM ¾ • TDD frame: 5ms • Scheduling Window: 1 second= 200 frames • MBS data area: 50kb • Average bit rate of substreams: 100kbps ~ 2.5 Mbps

  24. Simulation

  25. Simulation • Running Time • (a) Fixed Window Size at 1s • (b) Fixed number of streams at 20

  26. Simulation • Resource Utilization

  27. Simulation • Energy efficiency of the EESA

  28. Simulation • Effect of Receiver Buffer

  29. Conclusion • This paper proposed energy-efficient multicasting of scalable video streams • Maximize the average video stream quality • Reduce receiver energy consumption T h e E N D Thanks for your attention !

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