Comparatative Performance Evaluation of Modified Prototype Filter Bank Multicarrier Cognitive Radio Under Constraints of Lp, K, N and D

[1]  Karthikeyan Umapathy,et al.  Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking , 2010, EURASIP J. Adv. Signal Process..

[2]  Renu Vig,et al.  Performance Analysis of Filter Bank Multicarrier Cognitive Radio for Physical Layer under Binary Symmetric Radio Fading Channel , 2014 .

[3]  S. Ball,et al.  Consumer applications of cognitive radio defined networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[4]  Maurice G. Bellanger,et al.  Efficiency of Filter Bank Multicarrier Techniques in Burst Radio Transmission , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[5]  A. S. Kang,et al.  Two Channel Analysis and Synthesis Filter Bank Multicarrier Sub band Processing for Physical Layer Cognitive Radio , 2014 .

[6]  Andre B. J. Kokkeler,et al.  Towards Cognitive Radio for emergency networks , 2006 .

[7]  Renu Vig,et al.  Analysis of Effect of Variable Number of Subchannels on the Performance of Filter Bank Multicarrier Prototype Filter , 2014 .

[8]  Satwant Kaur Intelligence in Wireless Networks with Cognitive Radio Networks! , 2013 .

[9]  Markku Renfors,et al.  Prototype filter design for filter bank based multicarrier transmission , 2009, 2009 17th European Signal Processing Conference.

[10]  Faouzi Bader,et al.  Comparison of OFDM and FBMC performance in multi-relay cognitive radio network , 2012, 2012 International Symposium on Wireless Communication Systems (ISWCS).

[11]  Hengzhu Liu,et al.  Cognitive radio simulation environment realization based on autonomic communication , 2011, 2011 IEEE 3rd International Conference on Communication Software and Networks.

[12]  Carlo S. Regazzoni,et al.  Spectrum sensing: A distributed approach for cognitive terminals , 2007, IEEE Journal on Selected Areas in Communications.

[13]  Kang As BER Performance Analysis of Filter Bank Multicarrier Using Sub bandProcessing for Physical Layer Cognitive Radio , 2014 .

[14]  Faouzi Bader,et al.  Computationally Efficient Power Allocation Algorithm in Multicarrier-Based Cognitive Radio Networks: OFDM and FBMC Systems , 2010, EURASIP J. Adv. Signal Process..

[15]  Renu Vig,et al.  Study of Filter Bank Multicarrier Cognitive Radio under wireless fading channel , 2014, 2014 IEEE International Advance Computing Conference (IACC).

[16]  Ying-Chang Liang,et al.  Optimal Power Allocation for Fading Channels in Cognitive Radio Networks under Transmit and Interference Power Constraints , 2008, 2008 IEEE International Conference on Communications.

[17]  Renu Vig,et al.  Computational Complexity Analysis of FBMC-OQAM under different Strategic Conditions , 2014, 2014 Recent Advances in Engineering and Computational Sciences (RAECS).

[18]  Ajay K. Sharma,et al.  BER Performance Analysis of Cognitive Radio Physical Layer over Rayleigh fading Channel , 2011 .

[19]  Huseyin Arslan,et al.  Spectrum sensing testbed design for cognitive radio applications , 2011, 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).

[20]  Markku Renfors,et al.  Channel Equalization in Filter Bank Based Multicarrier Modulation for Wireless Communications , 2007, EURASIP J. Adv. Signal Process..

[21]  Jasvir Singh,et al.  Trade-off between AND and OR Detection method for Cooperative Sensing in Cognitive Radio , 2014, 2014 IEEE International Advance Computing Conference (IACC).

[22]  Laurence B. Milstein,et al.  Analysis and Simulation of Sensing Deception in Fading Cognitive Radio Networks , 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

[23]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..