CFP last date
20 January 2025
Reseach Article

Performance Analysis of Filter Bank Multicarrier Cognitive Radio for Physical Layer under Binary Symmetric Radio Fading Channel

by A. S Kang, Renu Vig
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 6
Year of Publication: 2014
Authors: A. S Kang, Renu Vig
10.5120/16221-5670

A. S Kang, Renu Vig . Performance Analysis of Filter Bank Multicarrier Cognitive Radio for Physical Layer under Binary Symmetric Radio Fading Channel. International Journal of Computer Applications. 93, 6 ( May 2014), 27-32. DOI=10.5120/16221-5670

@article{ 10.5120/16221-5670,
author = { A. S Kang, Renu Vig },
title = { Performance Analysis of Filter Bank Multicarrier Cognitive Radio for Physical Layer under Binary Symmetric Radio Fading Channel },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 6 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number6/16221-5670/ },
doi = { 10.5120/16221-5670 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:15:08.634118+05:30
%A A. S Kang
%A Renu Vig
%T Performance Analysis of Filter Bank Multicarrier Cognitive Radio for Physical Layer under Binary Symmetric Radio Fading Channel
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 6
%P 27-32
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The wireless communication has undergone a revolution due to advancements in technology. For each new user or application to be a part of communication network the preliminary requirement is the allocation of frequency spectrum band. This frequency band is a limited resource and it is impossible to expand its boundaries. So the need is to employ intelligent, adaptive and reconfigurable communication systems which can investigate the requirements of the end user and assign the requisite resources in contrast to the traditional communication systems which allocate a fixed amount of resource to the user under adaptive, autonomic and opportunistic cognitive radio environment. Cognitive Radio(CR) Technology has emerged from software defined radios wherein the key parameters of interest are frequency, power and modulation technique adopted. The role of Cognitive Radio is to alter these parameters under ubiquitous situations. The Spectrum Sensing is an important task to determine the availability of the vacant channels to be utilised by the secondary users without posing any harmful interference to the primary users. In Multicarrier Communication using Digital Signal Processing Techniques, Filter Bank Multi Carrier has an edge over other technologies in terms of Bandwidth and Spectral Efficiency. The present paper deals with the Multi Rate FIR Decimation and Interpolation Filter approach for physical layer of Cognitive Radio under Binary Symmetric fading channel environment.

References
  1. J. Mitola and G. Q. Maguire, "Cognitive Radios: Making Software Radios More Personal", IEEE Personal. Communication. , Vol. 6, no. 4, pp. 13-18, August 1999.
  2. S. Haykin, "Cognitive Radio: Brain-empowered wireless communications," IEEE Journal on Selected Areas in Communications, Vol. 23, pp. 201–220, Feb. 2005.
  3. I. F. Akyildiz, W. Y. Lee etal. , "Next Generation / Dynamic Spectrum Access / Cognitive Radio Wireless Networks: A Survey", Elsevier, Computer Networks 50(2006),Vol. 50,no. 13,pp. 2127-2159, 2006.
  4. William Krenik etal. , "Cognitive Radio Techniques for wide areanetworks", ConferenceProceedings,Texas Instruments,Dallas,USA,pp. 409-412,2009.
  5. H. Zhang etal. ",Spectral Efficiency Analysis in OFDM and OFDM /OQAM based Cognitive Radio Networks,"IEEE 69th Vehicular Technology Conference, 2009. VTC Spring,pp. 1-5,2009.
  6. M. Laddomadaet al. , "Advanced Technique on Multirate Signal Processing for Digital Information Processing,"IET Signal Processing,Vol. 5, no. 3, pp. 313–315,2011.
  7. Mohammed,Hamid etal. ,"On spectrum sharing and Dynamic Spectrum Allocation: MAC layer spectrum sensing in Cognitive Radio Networks"in Procof International Conference on Communication and Mobile Computing,IEEE, pp. 183-187,2010
  8. B Farhang Boroujeny etal. , "Multicarrier communication techniques for spectrum sensing and communication in cognitive radios,"IEEE Communication Magazine, Vol. 46, no. 4,pp. 80-85, April 2008.
  9. Nicola Moret and M Tonello, "Design of Orthogonal Filtered Multitone Modulation Systems and Comparison among Efficient Realizations", EURASIP Journal on Advances in Signal Processing, Vol. 2009,pp. 1-18,2009.
  10. Ziyang Ju et al. , "OptimizedParaunitary Filter Banks for Time-Frequency Channel Diagonalization", EURASIP Journal on Advances in Signal Processing, Vol. 2010, pp. 1-12,2010.
  11. JunMa, Li et al. ,"Signal Processing in Cognitive Radio", Proc. IEEE,May 2009,Vol. 97,No. 5,pp. 805-823,2009.
  12. H. Zhang et al. ,"Spectral Efficiency Comparsion of OFDM/FBMC for uplink Cognitive Radio Networks", EURASIP Journal on Advances in Signal Processing, Vol. 2010,pp. 1-14.
  13. Peiman Aminiand B Farhang Boroujeny, "Packet Format Design and Decision directed Tracking Methods for Filter bank multicarrier Systems", EURASIP Journal on Advances in Signal Processing, Vol. 2010,pp. 1-13,2010.
  14. T. H. Stitz et al. , "Pilot- Based synchronization and Equalization in Filter Bank Multicarrier Communication ", EURASIPJournal on Advances in Signal Processing, Vol. 2010,pp. 1-18,2010.
  15. TeroIhalainen, T. H. Stitzet al. ,"Channel Equalization in Filter Bank based Multicarrirer Modulation For Wireless Communacations",Hindawi Publishing Corporation,EURASIP Journal on Advances in Signal Processing, Vol. 2007,pp. 1-18,2007.
  16. Linnea Rosenbaum et al. , "An Approach for synthesis of Modulated M-Channel FIR Filter banks Utilizing the Frequency-Response Masking Technique,"EURASIP Journal on Advances in Signal Processing, Vol. 2007,pp. 1-13,2007.
  17. Christian Feldbauer,Marian Kepesi et al. , "Multirate Signal Processing",Graz University of Technology, Vol. 1. 3. 3,pp. 1-10,2005.
  18. Mohammed Abo-Zahhad,"Current State and Future Direction of Multirate Filter Banks and their Applications"Digital Signal Processing13(2003),Elsevier science (USA),Vol. 13,no. 3, pp. 495-518, 2003.
Index Terms

Computer Science
Information Sciences

Keywords

Performance Analysis