Spectrum sensing for cognitive radio using quantized data fusion and Hidden Markov model

2014 International Conference on Information Systems and Computer Networks (ISCON) ◽

10.1109/iciscon.2014.6965233 ◽

2014 ◽

Author(s):

Amrit Mukherjee ◽

Anand Maheshwari ◽

Satyabrata Maiti ◽

Amlan Datta

Keyword(s):

Cognitive Radio ◽

Data Fusion ◽

Markov Model ◽

Hidden Markov Model ◽

Spectrum Sensing ◽

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Cooperative Spectrum Sensing in Cognitive Radio Networks Using Hidden Markov Model

2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA) ◽

10.1109/bwcca.2015.45 ◽

2015 ◽

Author(s):

Jyu-Wei Wang

Keyword(s):

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Spectrum Sensing ◽

Cognitive Radio Networks ◽

Cooperative Spectrum Sensing ◽

Hidden Markov ◽

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High Precision Spectrum Sensing for Cognitive Radio using Hidden Markov Model

International Journal of Computer Applications ◽

10.5120/8054-1401 ◽

2012 ◽

Vol 51 (7) ◽

pp. 20-24 ◽

Author(s):

R. Vadivelu ◽

K. Sankaranarayanan ◽

T. Aswathy

Keyword(s):

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Spectrum Sensing ◽

High Precision ◽

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Spectrum Sensing for Cognitive Radio Using Blind Source Separation and Hidden Markov Model

2014 Fourth International Conference on Advanced Computing & Communication Technologies ◽

10.1109/acct.2014.63 ◽

2014 ◽

Author(s):

Amrit Mukherjee ◽

Satyabrata Maiti ◽

Amlan Datta

Keyword(s):

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Blind Source Separation ◽

Spectrum Sensing ◽

Hidden Markov ◽

Source Separation

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Estimation of Primary User Parameters in Cognitive Radio Systems via Hidden Markov Model

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2012.2229998 ◽

2013 ◽

Vol 61 (3) ◽

pp. 782-795 ◽

Author(s):

Kae Won Choi ◽

Ekram Hossain

Keyword(s):

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Primary User ◽

Cognitive Radio Systems ◽

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Dynamic Threshold Based Throughput Enhancement in Cognitive Radio Network Using Hidden Markov Model with State Prediction

Wireless Personal Communications ◽

10.1007/s11277-020-07664-w ◽

2020 ◽

Vol 115 (3) ◽

pp. 1973-1991

Author(s):

Ashim Jyoti Gogoi ◽

Krishna Lal Baishnab

Keyword(s):

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Cognitive Radio Network ◽

Hidden Markov ◽

Dynamic Threshold ◽

Radio Network ◽

Throughput Enhancement ◽

State Prediction

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Hidden Markov Model based channel selection framework for cognitive radio network

Computers & Electrical Engineering ◽

10.1016/j.compeleceng.2016.06.016 ◽

2018 ◽

Vol 65 ◽

pp. 516-526 ◽

Author(s):

Senthilkumar S. ◽

Geetha Priya C.

Keyword(s):

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Cognitive Radio Network ◽

Hidden Markov ◽

Channel Selection ◽

Radio Network ◽

Model Based ◽

Selection Framework

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A Fast Hardware Based Hidden Markov Model Predictor for Cognitive Radio

2016 IEEE 6th International Conference on Advanced Computing (IACC) ◽

10.1109/iacc.2016.144 ◽

2016 ◽

Author(s):

Tanumay Manna ◽

Iti Saha Misra

Keyword(s):

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Model Predictor

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Spectrum handoff model based on Hidden Markov model in Cognitive Radio Networks

The International Conference on Information Networking 2014 (ICOIN2014) ◽

10.1109/icoin.2014.6799714 ◽

2014 ◽

Author(s):

Chuan Pham ◽

Nguyen H. Tran ◽

Cuong T. Do ◽

Seung Il Moon ◽

Choong Seon Hong

Keyword(s):

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Cognitive Radio Networks ◽

Hidden Markov ◽

Radio Networks ◽

Spectrum Handoff ◽

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

2019 IEEE Symposium on Computers and Communications (ISCC) ◽

10.1109/iscc47284.2019.8969632 ◽

2019 ◽

Author(s):

G. M. D. Santana ◽

Rogers S. Cristo ◽

Jean-Philippe Diguet ◽

Catherine Dezan ◽

Osorio Diana P. M. ◽

...

Keyword(s):

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Cognitive Radio Networks ◽

Hidden Markov ◽

Primary User ◽

Radio Networks ◽

Energy Detector

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Detecting Byzantine attacks in Cognitive Radio Networks : A Two-Layered approach using Hidden Markov Model and Machine learning

Pervasive and Mobile Computing ◽

10.1016/j.pmcj.2021.101461 ◽

2021 ◽

pp. 101461

Author(s):

Amar Taggu ◽

Ningrinla Marchang

Keyword(s):

Machine Learning ◽

Cognitive Radio ◽

Markov Model ◽

Hidden Markov Model ◽

Cognitive Radio Networks ◽

Hidden Markov ◽

Radio Networks ◽

Layered Approach ◽

Byzantine Attacks

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