HDA Video Transmission Scheme for DASH

In recent years, with the development of Internet communication technology, more and more people tend to get information through the network. And people prefer multimedia video streaming services. Traditional streaming media technology cannot meet people’s needs because of its limitations. Recently, HTTP-based Dynamic Adaptive Streaming Over HTTP (DASH) has emerged as a new approach. In this paper, we consider two hybrid digital and analog video transmission schemes for DASH and propose three methods of enhancing the video quality of experience (QoE) of DASH users. First of all, considering the importance of data to video quality, we propose an energy-aware recombination method of reorganizing and packaging data and define the priority of the generated DASH layer in transmission. Second, we design an adaptive bitrate allocation algorithm to improve bandwidth utilization and video quality. Finally, we propose a retransmission mechanism to address the situation in which the digital stream at the receiving end cannot be decoded due to channel distance errors. Experiments show that our two schemes are superior to traditional DASH schemes.

[1]  Dina Katabi,et al.  SoftCast: one-size-fits-all wireless video , 2010, SIGCOMM '10.

[2]  Yi Sun,et al.  CS2P: Improving Video Bitrate Selection and Adaptation with Data-Driven Throughput Prediction , 2016, SIGCOMM.

[3]  Houqiang Li,et al.  Wireless Scalable Video Coding Using a Hybrid Digital-Analog Scheme , 2014, IEEE Transactions on Circuits and Systems for Video Technology.

[4]  Dina Katabi,et al.  A cross-layer design for scalable mobile video , 2011, MobiCom.

[5]  Shiwen Mao,et al.  Design principles for distributed channel assignment in wireless ad hoc networks , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[6]  Ali C. Begen,et al.  Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale , 2013, IEEE Journal on Selected Areas in Communications.

[7]  Yadong Wang,et al.  Hybrid digital-analog coding with bandwidth compression for gaussian source-channel pairs , 2009, IEEE Transactions on Communications.

[8]  Feng Wu,et al.  WaveCast: Wavelet based wireless video broadcast using lossy transmission , 2012, 2012 Visual Communications and Image Processing.

[9]  Jianqin Zhou,et al.  On discrete cosine transform , 2011, ArXiv.

[10]  Iraj Sodagar,et al.  The MPEG-DASH Standard for Multimedia Streaming Over the Internet , 2011, IEEE MultiMedia.

[11]  Bruno Sinopoli,et al.  A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP , 2015, Comput. Commun. Rev..

[12]  Itu-T and Iso Iec Jtc Advanced video coding for generic audiovisual services , 2010 .

[13]  Hongzi Mao,et al.  Neural Adaptive Video Streaming with Pensieve , 2017, SIGCOMM.

[14]  Vyas Sekar,et al.  Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE , 2012, CoNEXT '12.

[15]  Ramesh K. Sitaraman,et al.  BOLA: Near-Optimal Bitrate Adaptation for Online Videos , 2016, IEEE/ACM Transactions on Networking.

[16]  Nam C. Phamdo,et al.  Hybrid digital-analog (HDA) joint source-channel codes for broadcasting and robust communications , 2002, IEEE Trans. Inf. Theory.

[17]  Jun Wu,et al.  An Optimal Resource Allocation for Superposition Coding-Based Hybrid Digital–Analog System , 2017, IEEE Internet of Things Journal.

[18]  Te-Yuan Huang,et al.  A buffer-based approach to rate adaptation: evidence from a large video streaming service , 2015, SIGCOMM 2015.

[19]  Feng Wu,et al.  Structure-Preserving Hybrid Digital-Analog Video Delivery in Wireless Networks , 2015, IEEE Transactions on Multimedia.

[20]  Feng Wu,et al.  Cactus: a hybrid digital-analog wireless video communication system , 2013, MSWiM.

[21]  Chongyu Chen,et al.  Compressive modulation in digital communication , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).