Rate optimization to minimize distortion for source-channel coded H-BLAST with SIC decoding
IEEE Communications Letters
On source transmission over MIMO channels with limited feedback
IEEE Transactions on Signal Processing
Design and analysis of MIMO joint source channel coding (JSCC) with limited feedback
IEEE Transactions on Wireless Communications
Joint source-channel coding for transmitting correlated sources over broadcast networks
IEEE Transactions on Information Theory
Distortion exponents for decode-and-forward multi-relay cooperative networks
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Distortion minimization in Gaussian layered broadcast coding with successive refinement
IEEE Transactions on Information Theory
Distortion exponent for multiple description coding
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Analog source exchange with the help of a relay
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
The effect of fading correlation on average source MMSE distortion
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
MAP estimation of multiple description encoded video transmitted over noisy channels
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Wyner-Ziv coding over broadcast channels: digital schemes
IEEE Transactions on Information Theory
Joint source channel coding with side information using hybrid digital analog codes
IEEE Transactions on Information Theory
On the distortion exponents of layered broadcast transmission in multi-relay cooperative networks
IEEE Transactions on Signal Processing
On optimum end-to-end distortion in MIMO systems
EURASIP Journal on Wireless Communications and Networking
An end-to-end QoS and security joint management for IPTV service delivery
International Journal of Autonomous and Adaptive Communications Systems
Hi-index | 755.08 |
We consider transmitting a source across a pair of independent, nonergodic channels with random states (e.g., slow-fading channels) so as to minimize the average distortion. The general problem is unsolved. Hence, we focus on comparing two commonly used source and channel encoding systems which correspond to exploiting diversity either at the physical layer through parallel channel coding or at the application layer through multiple description (MD) source coding. For on-off channel models, source coding diversity offers better performance. For channels with a continuous range of reception quality, we show the reverse is true. Specifically, we introduce a new figure of merit called the distortion exponent which measures how fast the average distortion decays with signal-to-noise ratio. For continuous-state models such as additive white Gaussian noise (AWGN) channels with multiplicative Rayleigh fading, optimal channel coding diversity at the physical layer is more efficient than source coding diversity at the application layer in that the former achieves a better distortion exponent. Finally, we consider a third decoding architecture: MD encoding with joint source-channel decoding. We show that this architecture achieves the same distortion exponent as systems with optimal channel coding diversity for continuous-state channels, and maintains the advantages of MD systems for on-off channels. Thus, the MD system with joint decoding achieves the best performance from among the three architectures considered, on both continuous-state and on-off channels.