DocumentCode
120549
Title
Study of Filter Bank Multicarrier Cognitive Radio under wireless fading channel
Author
Kang, A.S. ; Vig, Renu
Author_Institution
ECE Deptt., Panjab Univ. SSGRC, Hoshiarpur, India
fYear
2014
fDate
21-22 Feb. 2014
Firstpage
209
Lastpage
214
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 AWGN fading channel environment.
Keywords
channel bank filters; cognitive radio; fading channels; frequency allocation; signal detection; signal processing; telecommunication networks; AWGN fading channel; bandwidth efficiency; cognitive radio environment; cognitive radio technology; communication network; communication systems; digital signal processing techniques; filter bank multicarrier cognitive radio; frequency spectrum band allocation; interpolation filter approach; multicarrier communication; multirate FIR decimation; spectral efficiency; spectrum sensing; wireless communication; wireless fading channel; Cognitive radio; Fading; Filter banks; Finite impulse response filters; Modulation; Radio spectrum management; Cognitive Radio; Fading Channel; Filter Bank Multicarrier; Spectrumm Sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location
Gurgaon
Print_ISBN
978-1-4799-2571-1
Type
conf
DOI
10.1109/IAdCC.2014.6779322
Filename
6779322
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