Distortion Performance of Convolutionally Coded Underwater Acoustic Networks

ANDREJ, STEFANOV (2016) Distortion Performance of Convolutionally Coded Underwater Acoustic Networks. In: Fourth International Conference on Advances in Computing, Electronics and Communication - ACEC 2016, 15-16 December 2016, Rome, Italy.

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Abstract

The paper studies the impact of point-to-point convolutional channel coding on the sustainable number of hops through the network for a maximum allowed route distortion requirement. The network is modeled by a uniform distribution of nodes over a finite area. The node-to-node channel is described by the Ricean fading model, while the interference from other nodes in the network is modeled as Gaussian. Numerical examples are presented to illustrate the results of the analysis.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: underwater acoustic networks, fading.
Depositing User: Mr. John Steve
Date Deposited: 18 Mar 2019 11:08
Last Modified: 18 Mar 2019 11:08
URI: http://publications.theired.org/id/eprint/627

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