On the optimal power-distortion tradeoff in asymmetric Gaussian sensor network
IEEE Transactions on Communications
Distributed quantization over noisy channels
IEEE Transactions on Communications
Power constrained distributed estimation with cluster-based sensor collaboration
IEEE Transactions on Wireless Communications
Amplify and forward for correlated data gathering over hierarchical sensor networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Nonlinear coding and estimation for correlated data in wireless sensor networks
IEEE Transactions on Communications
To sort or not to sort: optimal sensor scheduling for successive compress-and-estimate encoding
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
Decentralized estimation over noisy channels in cluster-based wireless sensor networks
International Journal of Communication Systems
| Hi-index | 754.84 |
We consider the problem of multiterminal source-channel communication where a number of distributed and possibly correlated sources are transmitted through an orthogonal multiple access channel to a common destination. We provide a characterization of the optimal tradeoff between the transmission cost Gamma and the distortion vector D as measured against individual sources. Our approach consists of two steps: 1) a multiple-letter characterization of the rate-distortion region of the multiterminal source coding and 2) a source-channel separation theorem ensuring that all achievable pairs of (Gamma, D) can be obtained by combining the rate-distortion region and the orthogonal multiple access channel capacity region. As a corollary, we determine the optimal power and distortion tradeoff in a quadratic Gaussian sensor network under orthogonal multiple access, and show that separate source and channel coding strictly outperforms the uncoded (amplify-forward) transmission, and is in fact optimal in this case. This result is in sharp contrast to the case of nonorthogonal multiple access for which separate source and channel coding is not only suboptimal but also strictly inferior to uncoded transmission.