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Realization of LSTM Based Cognitive Radio Network

This thesis presents the realization of an intelligent cognitive radio network that uses long short term memory (LSTM) neural network for sensing and predicting the spectrum activity at each instant of time. The simulation is done using Python and GNU Radio. The implementation is done using GNU Radio and Universal Software Radio Peripherals (USRP). Simulation results show that the confidence factor of opportunistic users not causing interference to licensed users of the spectrum is 98.75%. The implementation results demonstrate high reliability of the LSTM based cognitive radio network.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc1538697
Date08 1900
CreatorsValluru, Aravind-Deshikh
ContributorsNamuduri, Kamesh, Sun, Hua, Guturu, Parthasarathy
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatviii, 48 pages, Text
RightsPublic, Valluru, Aravind-Deshikh, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

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