Document Type
Article
Publication Date
October 2023
Patent Number
11791918
CPC
H04B 17/3913 , H04B 17/382 , H04W 40/18 , G06F 2218/12
Abstract
A system and method of propagating signal links by using artificial neural networks and a relay link selection protocol to predict an optimal signal path. The artificial neural networks used in the method classify training and testing datasets into sufficient signal strengths and insufficient signal strengths, such that paths are evaluated for predicted propagation links, such that the strongest propagation link can be selected. Specifically, a multilayer perceptron method is used to identify and characterize new link candidates using the path loss parameter or the received signal strength, such that optimal links can be selected and updated.
Application Number
18/087034
Recommended Citation
Aldossari, Saud Mobark, "Method of selecting an optimal propagated base signal using artificial neural networks" (2023). USF Patents. 1367.
https://digitalcommons.usf.edu/usf_patents/1367
Assignees
University of South Florida
Filing Date
12/22/2022