Power-Distortion Performance of Successive Coding Strategy in Gaussian Ceo Problem
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Bibliographic record
Abstract
In this paper, we investigate the power-distortion performance of the successive coding strategy in the so-called quadratic Gaussian CEO problem. In the CEO problem, L sensors will be deployed to observe independently corrupted versions of the source. They communicate information about their observations to the CEO through a Gaussian multiple access channel (MAC) without cooperating with each other. Two types of MAC are considered: orthogonal MAC and interfering (non-orthogonal) MAC. We address the problem from an information theoretic perspective and obtain the optimal tradeoff between the transmission cost, i.e., power, and the distortion D using Shannon's source-channel separation theorem. We also determine the optimal power allocation scheme based on the successive coding strategy to minimize the total power consumption in the sensor network
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| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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