A Case Study of Primary User Arrival Prediction Using the Energy Detector and the Hidden Markov Model in Cognitive Radio Networks - Université de Bretagne Occidentale Access content directly
Conference Papers Year : 2019

A Case Study of Primary User Arrival Prediction Using the Energy Detector and the Hidden Markov Model in Cognitive Radio Networks

Guilherme Santana
  • Function : Author
  • PersonId : 1059634
Rogers Cristo
  • Function : Author
  • PersonId : 1059635
Jean-Philippe Diguet
Lab-STICC_UBS_CACS_MOCS
CV
Catherine Dezan
Lab-STICC_UBO_CACS_MOCS
CV
Diana Osorio
  • Function : Author
  • PersonId : 1059636
Kalinka R L J Castelo Branco
  • Function : Author
Universidade de São Paulo = University of São Paulo

Domains

Networking and Internet Architecture [cs.NI] Cryptography and Security [cs.CR] Embedded Systems

Catherine Dezan  : Connect in order to contact the contributor

https://hal.univ-brest.fr/hal-02389059

Submitted on : Monday, December 2, 2019-12:17:39 PM

Last modification on : Friday, March 24, 2023-2:53:14 PM

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hal-02389059 , version 1 (02-12-2019)

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  • HAL Id : hal-02389059 , version 1

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Guilherme Santana, Rogers Cristo, Jean-Philippe Diguet, Catherine Dezan, Diana Osorio, et al.. A Case Study of Primary User Arrival Prediction Using the Energy Detector and the Hidden Markov Model in Cognitive Radio Networks. WoCCES 2019, Jun 2019, Barcelone, Spain. ⟨hal-02389059⟩

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