Power-Rate-Distortion Analysis For Wireless Multimedia Networks - Part II
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1 Power-Rate-Distortion Analysis For Wireless Multimedia Networks - Part II Chao Yu and Ilker Demirkol ECE Dept, University of Rochester Rochester NY, USA March 2nd, 2009 C. Yu and I. Demirkol, Univ of Rochester 1 / 11 P-R-D analysis of wireless image transmission
2 Wireless Transmission of Image/Video Consider wireless transmission of an image of R bits energy/bandwidth constraint unreliable channel Goal: Minimize energy consumption P, given distortion requirement Minimize distortion D, given the power constraint. Design parameters: the compressed bit rate, R s the channel-coded bit rate R c the transmission power P C. Yu and I. Demirkol, Univ of Rochester 2 / 11 P-R-D analysis of wireless image transmission
3 Recap: Power-Rate-Distortion Analysis PRD for compression focus: computation energy P s parameter: R s, approximate energy model for adaptable compression algorithms optional: simplistic model for transmission: P t R s C. Yu and I. Demirkol, Univ of Rochester 3 / 11 P-R-D analysis of wireless image transmission
4 Recap: Power-Rate-Distortion Analysis PRD for compression focus: computation energy P s parameter: R s, approximate energy model for adaptable compression algorithms optional: simplistic model for transmission: P t R s PRD for transmission focus: transmission energy P t parameter: R c, P mathematical formulation for power-distortion analysis of wireless data transmission optional: simple model for compression energy: P s R s C. Yu and I. Demirkol, Univ of Rochester 3 / 11 P-R-D analysis of wireless image transmission
5 Recap: Power-Rate-Distortion Analysis PRD for compression focus: computation energy P s parameter: R s, approximate energy model for adaptable compression algorithms optional: simplistic model for transmission: P t R s PRD for transmission focus: transmission energy P t parameter: R c, P mathematical formulation for power-distortion analysis of wireless data transmission optional: simple model for compression energy: P s R s PRD for joint compression-transmission C. Yu and I. Demirkol, Univ of Rochester 3 / 11 P-R-D analysis of wireless image transmission
6 Power-Rate-Distortion for Transmission PRD for transmission: Goal: minimize P t for a fixed amount of data, R s Parameter: channel code rate R c, transmission power P Model: Given channel/modulation model P BER Given channel code type BER,R c P ǫfail rate Given distortion model P ǫ E[D t] Result: E[D t](p, R c), allows optimization of P,R c C. Yu and I. Demirkol, Univ of Rochester 4 / 11 P-R-D analysis of wireless image transmission
7 Paper: source-channel matching Joint source-channel matching for a wireless communications link, [Appadwedula et al., ICC98] Goal: minimize average distortion under power and rate constraint Parameter: R c, P min E[D] = X D(block)P ǫ(block) BEP,r blocks s.t.p tot P R tot R C. Yu and I. Demirkol, Univ of Rochester 5 / 11 P-R-D analysis of wireless image transmission
8 Power-Rate-Distortion for compression-communication PRD formulation for joint compression-communication is obtained by combining individual components P tot = P s + P t +... D tot = D s + D t Various energy models for video coding channel encoding/decoding receiver C. Yu and I. Demirkol, Univ of Rochester 6 / 11 P-R-D analysis of wireless image transmission
9 paper: total system energy minimization Total system energy minimization for wireless image transmission, [Appadwedula et al., 2001, Journal of VLSI signal processing,2001] Goal: minimize total energy of encoding/transmission/receiving Parameter: R s,r c,p, C rake,... Nonlinear optimization problem, numerical methods. C. Yu and I. Demirkol, Univ of Rochester 7 / 11 P-R-D analysis of wireless image transmission
10 paper: wireless video transmission Power-minimized bit allocation for video communication over wireless channels, [Zhang et al., 2002, CVST 2002], Goal: min P tot, s.t.d tot < D Parameters: R c,p, R s R s controlled by adaptive motion estimation Simple model for power consumption in source/channel coding C. Yu and I. Demirkol, Univ of Rochester 8 / 11 P-R-D analysis of wireless image transmission
11 paper: energy efficient wireless multimedia Power efficient multimedia communication over wireless channels, [Lu et al., 2003, JSAC 2003] Goal: min P tot, s.t.d tot < D Parameter: R c,p,r s R s controlled by adaptive I-frame ratio Simple model for power consumption in source/channel coding C. Yu and I. Demirkol, Univ of Rochester 9 / 11 P-R-D analysis of wireless image transmission
12 energy efficient wireless video: related work Related power-rate-distortion analysis for video coding More control paramters Block mode selection (intra/inter), adaptive quantization [He et al., 2002] Advanced distortion model inter-frame distortion model error-concealment Application of PRD Power allocation (frames/blocks) Review papers, [Katsaggelos et al., 2005][Etoh and Yoshimura, 2005] C. Yu and I. Demirkol, Univ of Rochester 10 / 11 P-R-D analysis of wireless image transmission
13 Reference S. Appadwedula, DL Jones, K. Ramchandran, and I. Konzintsev. Joint source-channel matching for a wireless communications link. In IEEE International Conference on Communications, 1998., volume 1. S. Appadwedula, M. Goel, N.R. Shanbhag, D.L. Jones, and K. Ramchandran. Total system energy minimization for wireless image transmission. The Journal of VLSI Signal Processing, 27(1): , M. Etoh and T. Yoshimura. Advances in wireless video delivery. Proceedings of the IEEE, 93(1): , Z. He, J. Cai, and C.W. Chen. Joint source channel rate-distortion analysis for adaptive modeselection and rate control in wireless video coding. IEEE Transactions on Circuits and Systems for Video Technology, 12(6): , AK Katsaggelos, Y. Eisenberg, F. Zhai, R. Berry, and TN Pappas. Advances in efficient resource allocation for packet-based real-time video transmission. Proceedings of the IEEE, 93(1): , X. Lu, E. Erkip, Y. Wang, and D. Goodman. Power efficient multimedia communication over wireless channels. IEEE Journal on Selected Areas in Communications, 21(10): , Q. Zhang, Z. Ji, W. Zhu, and Y.Q. Zhang. Power-minimized bit allocation for video communication over wireless channels. IEEE transactions on circuits and systems for video technology, 12(6): , C. Yu and I. Demirkol, Univ of Rochester 11 / 11 P-R-D analysis of wireless image transmission
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