The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Uncoded Transmission Is Exactly Optimal for a Simple Gaussian “Sensor” Network
Open accessAbstract
A single memoryless Gaussian source is observed by many terminals, subject to independent Gaussian observation noises. The terminals are linked to a fusion center via a standard Gaussian multiple-access channel. The fusion center needs to recover the underlying Gaussian source with respect to mean-squared error. In this correspondence, a theorem of Witsenhausen is shown to imply that an optimal communication strategy is uncoded transmission, i.e., each terminal's channel input is merely a scaled version of its noisy observation.
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Citations
Cites
Estimating Optimal Transformations for Multiple Regression and Correlation
Breiman, L., & Friedman, J. H. (1985) · Journal of the American Statistical Association · doi:10.1080/01621459.1985.10478157 · Cited by 1,710
Computation Over Multiple-Access Channels
Nazer, B., & Gastpar, M. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2007.904785 · Cited by 753
Self-citationTo code, or not to code: lossy source-channel communication revisited
Gastpar, M., Rimoldi, B., & Vetterli, M. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2003.810631 · Cited by 550
Self-citationThe CEO problem [multiterminal source coding]
Berger, T., Zhang, Z., & Viswanathan, H. (1996) · IEEE Transactions on Information Theory · doi:10.1109/18.490552 · Cited by 489
On the capacity of wireless networks: the relay case
Gastpar, M., & Vetterli, M. (2003) · Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies · doi:10.1109/infcom.2002.1019409 · Cited by 467
Self-citationOn Capacity Under Receive and Spatial Spectrum-Sharing Constraints
Gastpar, M. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.889016 · Cited by 438
Self-citationMultiple access channels with arbitrarily correlated sources
Cover, T., Gamal, A. E., & Salehi, M. (1980) · IEEE Transactions on Information Theory · doi:10.1109/tit.1980.1056273 · Cited by 400
Source-Channel Communication in Sensor Networks
Gastpar, M., & Vetterli, M. (2003) · Lecture Notes in Computer Science · doi:10.1007/3-540-36978-3_11 · Cited by 283
Self-citationSome properties of the bivariate normal distribution considered in the form of a contingency table
LANCASTER, H. O. (1957) · Biometrika · doi:10.1093/biomet/44.1-2.289 · Cited by 184
Ahlswede, R., & Han, T. S. (1983) · IEEE Transactions on Information Theory · doi:10.1109/tit.1983.1056669 · Cited by 153
Cited by
Computation Over Multiple-Access Channels
Nazer, B., & Gastpar, M. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2007.904785 · Cited by 753
Self-citationMIMO Over-the-Air Computation for High-Mobility Multimodal Sensing
Zhu, G., & Huang, K. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2871070 · Cited by 273
Over-the-Air Computation for IoT Networks: Computing Multiple Functions With Antenna Arrays
Chen, L., Zhao, N., Chen, Y., Yu, F. R., & Wei, G. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2843321 · Cited by 136
Hybrid Beamforming for Massive MIMO Over-the-Air Computation
Zhai, X., Chen, X., Xu, J., & Kwan Ng, D. W. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3051397 · Cited by 74
Computation Over MAC: Achievable Function Rate Maximization in Wireless Networks
Chen, L., Zhao, N., Chen, Y., Qin, X., & Yu, F. R. (2020) · IEEE Transactions on Communications · doi:10.1109/tcomm.2020.3005958 · Cited by 17
Metadata
- Authors
- Gastpar, M.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2008-11
- Volume
- 54
- Issue
- 11
- Pages
- 5247-5251
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W2139787801
- Cited by
- 317
- References
- 13
- FWCI
- 39.51
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
