A Case Study of Primary User Arrival Prediction Using the Energy Detector and the Hidden Markov Model in Cognitive Radio Networks.
Guilherme M. D. SantanaRogers S. CristoJean-Philippe DiguetCatherine DezanDiana Pamela Moya OsorioKalinka R. J. L. BrancoPublished in: ISCC (2019)
Keyphrases
- hidden markov models
- cognitive radio networks
- user centric
- spectrum sensing
- sequential data
- conditional random fields
- markov models
- speech recognition
- markov model
- viterbi algorithm
- handwritten word recognition
- energy consumption
- steady state
- user experience
- user interface
- user interaction
- hidden state
- hidden states
- cognitive radio
- wavelet transform
- low level
- data streams
- hierarchical hidden markov model
- continuous hidden markov models