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To code, or not to code: lossy source-channel communication revisited
Open accessAbstract
What makes a source-channel communication system optimal? It is shown that in order to achieve an optimal cost-distortion tradeoff, the source and the channel have to be matched in a probabilistic sense. The match (or lack of it) involves the source distribution, the distortion measure, the channel conditional distribution, and the channel input cost function. Closed-form necessary and sufficient expressions relating the above entities are given. This generalizes both the separation-based approach as well as the two well-known examples of optimal uncoded communication. The condition of probabilistic matching is extended to certain nonergodic and multiuser scenarios. This leads to a result on optimal single-source broadcast communication.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Cited by
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Haupt, J., & Nowak, R. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.880031 · Cited by 608
Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback
Caire, G., Jindal, N., Kobayashi, M., & Ravindran, N. (2010) · IEEE Transactions on Information Theory · doi:10.1109/tit.2010.2046225 · Cited by 537
DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback
Kurka, D. B., & Gunduz, D. (2020) · IEEE Journal on Selected Areas in Information Theory · doi:10.1109/jsait.2020.2987203 · Cited by 470
Uncoded Transmission Is Exactly Optimal for a Simple Gaussian “Sensor” Network
Gastpar, M. (2008) · IEEE Transactions on Information Theory · doi:10.1109/tit.2008.929967 · Cited by 317
Self-citationInformation Theory of Decisions and Actions
Tishby, N., & Polani, D. (2011) · Perception-Action Cycle · doi:10.1007/978-1-4419-1452-1_19 · Cited by 267
Metadata
- Authors
- Gastpar, M., Rimoldi, B., & Vetterli, M.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2003-05
- Volume
- 49
- Issue
- 5
- Pages
- 1147-1158
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W2148164553
- Cited by
- 550
- References
- 1
- FWCI
- 28.05
- Type
- journal article
- Language
- en
- Open access
- green
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- Gastpar, M., Rimoldi, B., & Vetterli, M. (2003). To code, or not to code: lossy source-channel communication revisited. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.2003.810631
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