Performance of Convolutionally Coded Underwater Acoustic Ad-Hoc Networks

ANDREJ, STEFANOV (2015) Performance of Convolutionally Coded Underwater Acoustic Ad-Hoc Networks. In: Third International Conference on Advances in Information Processing and Communication Technology - IPCT 2015, 10-11 December, 2015, Rome, Italy.

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The paper considers the performance of underwater acoustic ad-hoc networks. A uniform distribution of nodes over a finite area is assumed. The node-to-node channel is modeled through the Ricean fading model. The paper adopts a communication theoretic approach and studies the impact of point-to-point convolutional channel coding on the sustainable number of hops through the network. 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: 05 Apr 2019 12:09
Last Modified: 05 Apr 2019 12:09

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