Video quality based adaptive wireless video streaming to multiple users

The paper proposes a cross-layer approach for joint closed-loop control of wireless video transmission to multiple users. The approach allows joint adaptation of the multiple users source rates by maximizing the worst served user video quality, taking into account the characteristics of the video sources, channel conditions and user requirements. The controlling task is split in two parts: resource allocation between users and cross-layer optimization for each user. A novel simple algorithm for dynamic resource allocation between users is proposed in conjunction with single user rate control.

[1]  Wolfgang Kellerer,et al.  On Cross-Layer Design for Streaming Video Delivery in Multiuser Wireless Environments , 2006, EURASIP J. Wirel. Commun. Netw..

[2]  Aggelos K. Katsaggelos,et al.  Content-aware resource allocation and packet scheduling for video transmission over wireless networks , 2007, IEEE Journal on Selected Areas in Communications.

[3]  Guan-Ming Su,et al.  Multiuser cross-layer resource allocation for video transmission over wireless networks , 2006, IEEE Network.

[4]  Zhou Wang,et al.  No-reference perceptual quality assessment of JPEG compressed images , 2002, Proceedings. International Conference on Image Processing.

[5]  Zhou Wang,et al.  Video quality assessment based on structural distortion measurement , 2004, Signal Process. Image Commun..

[6]  M. Chiani,et al.  Rate-distortion models for unequal error protection for wireless video transmission , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[7]  Pascal Frossard,et al.  Video Packet Selection and Scheduling for Multipath Streaming , 2007, IEEE Transactions on Multimedia.

[8]  Jyrki Huusko,et al.  Content adaptive network aware joint optimization of wireless video transmission , 2007, IEEE Communications Magazine.