Distributed inference has applications in fields as varied as source localization, evaluation of network quality, and remote monitoring of wildlife habitats. In this dissertation, distributed inference algorithms over multiple-access channels are considered. The performance of these algorithms and the effects of wireless communication channels on the performance are studied. In a first class of problems, distributed inference over fading Gaussian multiple-access channels with amplify-and-forward is considered.
Download count: 0
- Partial requirement for: Ph.D., Arizona State University, 2010Note typethesis
- Includes bibliographical references (p. 106-118)Note typebibliography
- Field of study: Electrical engineering