臺灣博碩士論文加值系統

可調適視訊編碼(SVC)是可針對應用與頻寬變化需求，彈性的調整輸出位元組的視訊編碼技術，適合無線傳輸與網路變動頻寬的應用。超寬頻（‎Ultra-wideband，簡稱UWB）是一種具備低耗電與高速傳輸的無線通訊技術，適合需要高質量服務的無線通信應用，可以用在家庭網路連接和無線個人區域網路等領域。透過系統上跨層級的設計，使短距無線多媒體傳輸成為可能且更有彈性與效率。
在本論文中，我們考慮可調適視訊編碼與超寬頻MB-OFDM WiMedia的特性，在視訊傳輸端提出WiMedia媒介存取控制層(MAC layer)的一套系統架構包括跨層級的回報機制。透過WiMedia 媒介存取控制層監測頻寬來估計下一段時間可用頻寬並同時考慮解碼器緩衝區的延遲效應後回報，進而調整可調適視訊編碼所要傳送的位元組，以減少頻寬變動與無線通道品質的干擾。最後在系統層級上模擬所提出來的跨層架構以及頻寬回報機制對於播放延遲、頻寬使用率以及資料緩衝區所累積的資料大小的效能表現.。

Scalable Video Coding (SVC) is a video compression technology which can provide flexible bitstream extraction according to the requirements of application and network bandwidth. WiMedia Ultra-WideBand is a wireless communication technique which contains the characteristics of low power and high data-rate. It is suitable for the Wireless Personal Area Network (WPAN) and communication network at home. Thought the cross layer design makes the wireless multimedia transmission over short distance become not only possible but also more flexible and efficient.
In this thesis, we proposed a cross-layer architecture including a feedback scheme which takes advantage of the characteristics of SVC and WiMedia, on the Medium Access Control (MAC) layer of transmitter. Thought the monitoring of bandwidth fluctuation by MAC layer, we can estimate the available bandwidth of next period and dynamically adjust the feedback extraction bitrate after considering the issue of video latency on the buffer of decoder in order to reduce the impact of the variation of network bandwidth and channel condition on real time video communication. Finally, with the proposed architecture and mechanism, we will simulate the performance of video latency, bandwidth utilization and buffer condition on WiMedia with SVC as our application in system level.

摘 要 i
ABSTRACT ii
Contents iii
Figures v
Chapter 1 INTRODUCTION 1
1.1 Problem Statement 1
1.2 Research Approach 1
1.3 Thesis Outline 2
Chapter 2 BRIEF INTRODUCTION OF H.264/AVC SVC 3
2.1 Encoder Overview 4
2.2 Temporal Scalability 6
2.3 Spatial Scalability 6
2.4 SNR Scalability 9
2.4.1 Coarse Grain Scalability (CGS) 9
2.4.2 Fine Grain Scalability (FGS) 10
2.5 Bit stream Extraction 10
2.5.1 Simple Truncation 10
2.5.2 Quality Layer Adaption 11
Chapter 3 BRIEF OVERVIEW OF WIMEDIA UWB 12
3.1 Brief Introduction of WiMedia UWB MAC 13
3.1.1 Super-frame Structure 13
3.1.2 Frame Transaction 14
3.1.3 Overview of Beacon Period 16
3.1.4 Overview of Prioritized Channel Access (PCA) 19
3.1.5 Overview of Distributed Reservation Protocol (DRP) 22
3.2 Brief Introduction of WiMedia UWB PHY 24
Chapter 4 THE FEEDBACK SCHEME OF WIMEDIA MAC FOR H.264/AVC SVC STREAMING 26
4.1 Purpose of Feedback Scheme 26
4.2 The Effects of Feedback Scheme 26
4.3 System Architecture 27
4.4 Proposed Feedback Scheme 28
4.4.1 Estimation 29
4.4.2 Adaptation 30
Chapter 5 SIMULATION RESULT 36
5.1 Simulation Setup 36
5.1.1 SNR Generation Model 36
5.1.2 Available MASs Generation Model 37
5.1.3 Fragment Model 38
5.2 Simulation Results 38
5.2.1 Compared Methods 38
5.2.2 Performance of Proposed Estimation Method 40
5.2.3 Performance of Proposed Scheme 42
Chapter 6 Conclusion 47
6.1 Conclusion 47
6.2 Future Work 47

[1] Hsiang-Chun Huang, Wen-Hsiao Peng, Tihao Chiang and Hsueh-Ming Hang, "Advances in the scalable amendment of H.264/AVC," Communications Magazine, IEEE, vol. 45, pp. 68-76, 2007.
[2] Hsiang-Chun Huang, Chung-Neng Wang and Tihao Chiang, "A robust fine granularity scalability using trellis-based predictive leak," Circuits and Systems for Video Technology, IEEE Transactions on, vol. 12, pp. 372-385, 2002.
[3] Yu-Jen Chen, Chen-Han Tsai, and Liang-Gee Chen, “Analysis and Architecture Design for Multi-Symbol Arithmetic Encoder in H.264/AVC,” in VLSI Design/CAD Symposium, 2005
[4] J. del Prado Pavon, Sai Shankar N, V. Gaddam, K. Challapali and Chun-Ting Chou, "The MBOA-WiMedia specification for ultra wideband distributed networks," Communications Magazine, IEEE, vol. 44, pp. 128-134, 2006.
[5] http://www.multibandofdm.org
[6] http://www.wimedia.org
[7] http://www.ecma.org
[8] http://ieee802.org/15/pub/TG3a.html
[9] http://www.edca.org
[10] Sun, Shenjin (December 2006). Performance Analysis Of The Beacon Period Contraction Mechanism In Wimedia Mac For Uwb. University of Texas at Arlington. Available electronically from http : / /hdl .handle .net /10106 /181 .
[11] Chien-Yu Chen, “Comparison of MAC Layer Mechanisms for WiMedia UWB and UWB Forum,”
[12] Jian-Liang Lin, Wen-Liang Hwang and Soo-Chang Pei, "SNR scalability based on bitplane coding of matching pursuit atoms at low bit rates: fine-grained and two-layer," Circuits and Systems for Video Technology, IEEE Transactions on, vol. 15, pp. 3-14, 2005.
[13] Peng Chen, Jeongyeon Lim, Bumshik Lee and Munchurl Kim, “A network-adaptive SVC Streaming Architecture,” the 9th international conference on advanced communication technology, pp: 955-960, Feb.2007.
[14] Haechul Choi, Jung Won Kang and Jae-Gon Kim, "Dynamic and Interoperable Adaptation of SVC for QoS-Enabled Streaming," Consumer Electronics, IEEE Transactions on, vol. 53, pp. 384-389, 2007.
[15] Q. Zhang, W. Zhu and Y. Zhang, "End-to-End QoS for Video Delivery Over Wireless Internet," Proceedings of the IEEE, vol. 93, pp. 123-134, 2005.
[16] D. Cassioli, M. Z. Win and A. F. Molisch, "A statistical model for the UWB indoor channel," Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd, vol. 2, pp. 1159-1163 vol.2, 2001.
[17] S. S. Ghassemzadeh, L. J. Greenstein, A. Kavcic, T. Sveinsson and V. Tarokh, "UWB indoor path loss model for residential and commercial buildings," Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th, vol. 5, pp. 3115-3119 Vol.5, 2003.
[18] S. J. MacMullan and B. D. Patel, "UWB: The Solution for Wireless A/V Cable Replacement," Consumer Electronics, 2007. ICCE 2007. Digest of Technical Papers. International Conference on, pp. 1-2, 2007.