Communication publiée dans un ouvrage (Colloques, congrès, conférences scientifiques et actes)
Automatic Modulation Classification for Adaptive Power Control in Cognitive Satellite Communications
TSAKMALIS, Anestis; CHATZINOTAS, Symeon; OTTERSTEN, Björn
2014 • In Proceedings of 7th Advanced Satellite Multimedia Systems Conference (ASMS) and 13th Signal Processing for Space Communications Workshop (SPSC) 2014
Q. Zhao and B. Sadler, "A Survey of Dynamic Spectrum Access," IEEE Signal Processing Magazine, pp. 79-89, 2007.
J. Mitola, "Cognitive radio an integrated agent architecture for software defined radio," Ph.D. dissertation, KTH Royal Institute of Technology Stockholm, Stockholm, Sweden, 2000.
K. M. Thilina, K. W. Choi, N. Saquib, and E. Hossain, "Pattern classification techniques for cooperative spectrum sensing in cognitive radio networks: SVM and W-KNN approaches," IEEE Global Communications Conference (GLOBECOM), pp. 1260-1265, 2012.
Z. Dandan and Z. Xuping, "SVM-Based Spectrum Sensing in Cognitive Radio," 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), 2011.
H. Yang, X. Xie, and R. Wang, "SOM-GA-SVM Detection Based Spectrum Sensing in Cognitive Radio," 8th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), 2012.
T. Zhang, M. Wu, and C. Liu, "Cooperative Spectrum Sensing Based on Artificial Neural Network for Cognitive Radio Systems," 8th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), 2012.
O. Dobre, A. Abdi, Y. Bar-Ness, and W. Su, "Cyclostationarity-based modulation classification of linear digital modulations in flat fading channels," Wireless Personal Communications, pp. 699-717, 2010.
M. Petrova, P. Mahonen, and A. Osuna, "Multi-class classification of analog and digital signals in cognitive radios using Support Vector Machines," 7th International Symposium on Wireless Communication Systems (ISWCS), pp. 986-990, 2010.
R. Kannan and S. Ravi, "Second-order Statistical Approach for Digital Modulation Scheme Classification in Cognitive Radio using Support Vector Machine and K-Nearest Neighbour Classifier," Journal of Computer Science, pp. 235-243, 2013.
J. Lunden and V. Koivunen, "Automatic Radar Waveform Recognition," IEEE Journal of Selected Topics in Signal Processing, p. 124136, 2007.
B. Ramkumar, "Automatic Modulation Classification for Cognitive Radios Using Cyclic Feature Detection," IEEE Circuits and Systems Magazine, pp. 27-45, 2009.
D. Liu and J. Liu, "A Novel Signal Recognition Algorithm Based on SVM in Cognitive Networks," 12th IEEE International Conference on Communication Technology (ICCT), pp. 1264-1267, 2010.
J. J. Popoola and R. van Olst, "Application of neural network for sensing primary radio signals in a cognitive radio environment," IEEE AFRICON, 2011.
M. Bkassiny, S. K. Jayaweera, Y. Li, and K. A. Avery, "Blind cyclostationary feature detection based spectrum sensing for autonomous self-learning cognitive radios," IEEE International Conference on Communications (ICC), 2012.
H. Liu, D. Yu, and X. Kong, "A New Approach to Improve Signal Classification in Low SNR Environment in Spectrum Sensing," 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2008.
L. C. Freitas, C. Cardoso, F. C. B. F. Muller, J. W. A. Costa, and A. Klautau, "Automatic modulation classification for cognitive radio systems: Results for the symbol and waveform domains," IEEE Latin-American Conference on Communications (LATINCOM), 2009.
K. Kim, I. A. Akbar, K. K. Bae, J. Um, C. M. Spooner, and J. H. Reed, "Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio," 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 212-215, 2007.
Y. Tang, Q. Zhang, and W. Lin, "Artificial Neural Network Based Spectrum Sensing Method for Cognitive Radio," 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), 2010.
A. Fehske, J. Gaeddert, and J. H. Reed, "A new approach to signal classification using spectral correlation and neural networks," 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 144-150, 2005.
N. Shetty, S. Pollin, and P. Paweczak, "Identifying Spectrum Usage by Unknown Systems using Experiments in Machine Learning," IEEE Wireless Communications and Networking Conference (WCNC), 2009.
M. Bkassiny, S. K. Jayaweera, Y. Li, and K. A. Avery, "Wideband Spectrum Sensing and Non-Parametric Signal Classification for Autonomous Self-Learning Cognitive Radios," IEEE Transactions on Wireless Communications, pp. 2596-2605, 2012.
W. A. Gardner, Statistical Spectral Analysis: A Nonprobabilistic Theory. Prentic Hall, 1987.
Y. Hassan, M. El-Tarhuni, and K. Assaleh, "Comparison of Linear and Polynomial Classifiers for Co-operative Cognitive Radio Networks," IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, pp. 797-802, 2010.
A. F. Cattoni, M. Ottonello, M. Raffetto, and C. S. Regazzoni, "Neural Networks Mode Classification based on Frequency Distribution Features," 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 251-257, 2007.
W. Yu, W. Rhee, S. Boyd, and J. M. Cioffi, "Iterative Water-filling for Gaussian Vector Multiple Access Channels," IEEE Transactions on Information Theory, pp. 145-152, 2004.
J. D. Herdtner and E. K. P. Chong, "Analysis of a Class of Distributed Asynchronous Power Control Algorithms for Cellular Wireless Systems," IEEE Journal on Selected Areas on Communications, pp. 436-446, 2000.
C. U. Saraydar, N. B. Mandayam, and D. J. Goodman, "Efficient Power Control via Pricing in Wireless Data Networks," IEEE Transactions on Communications, pp. 291-303, 2002.
T. Alpcan, T. Basar, R. Srikant, and E. Altman, "CDMA Uplink Power Control as a Noncooperative Game," Proceedings of the 40th IEEE Conference on Decision and Control, 2001, pp. 197-202, 2001.
S. Sharma, S. Chatzinotas, and B. Ottersten, "Cognitive Radio Techniques for Satellite Communication Systems," Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th, 2013.
K. Liolis, G. Schlueter, J. Krause, F. Zimmer, L. Combelles, J. Grotz, S. Chatzinotas, B. Evans, A. Guidotti, D. Tarchi, and A. Vanelli-Coralli, "Cognitive radio scenarios for satellite communications: The CoRaSat approach," Future Network and Mobile Summit (Future Network Summit), 2013, 2013.
S. Sharma, S. Chatzinotas, and B. Ottersten, "Satellite Cognitive Communications: Interference Modelling and Techniques Selection," 6th Advanced Satellite Multimedia Systems Conference (ASMS) and 12th Signal Processing for Space Communications Workshop (SPSC), pp. 111-118, 2012.
S. K. Sharma, S. Maleki, S. Chatzinotas, J. Grotz, and B. Ottersten, "Implementation Issues of Cognitive Radio Techniques for Ka-band (17.7-19.7 Ghz) SatComs," 7th Advanced Satellite Multimedia Systems Conference (ASMS) and 13th Signal Processing for Space Communications Workshop (SPSC), 2014.
V. N. Vapnik, The Nature of Statistical Learning Theory. Springer, 1999.
