Analysis of Spectrum Sensing based on Cyclostationary Feature Detection and Access using OFDM and OWDM

  Raman Kaur,  Dr. Paras Chawla

The growing demand of remote applications requires large amount of bandwidth. This becomes limitation between the growing demand of wireless spectrum and limited wireless resources. Traditionally, the radio spectrum is allocated in a fixed or statistical manner. In this manner of allocation, the spectrum is not fully utilized. Hence, the spectrum remains under-utilized. To make underutilized spectrum, used properly it should be allocated dynamically. Cognitive radio (CR) is a technology, which makes use of dynamic spectrum assignment (DSA) to allocate the spectrum dynamically. Spectrum sensing is one of the important tasks in DSA. In this paper, cyclostationary feature detection is used for sensing purpose. After detection, multiple users use orthogonal wavelet division multiplexing (OWDM) and orthogonal frequency division multiplexing (OFDM) schemes to access the single spectrum. The simulation parameters such as probability of detection, probability of false alarm, bit error rate and symbol error rate are used for performance evaluation of cyclostationary feature detection.

Keywords- cognitive radio, Cyclostationary feature detection, OWDM, OFDM.

Unique Identification Number - IJEDR1701072
Page Number(s) - 466-474
Pubished in - Volume 5 | Issue 1 | March 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Raman Kaur,  Dr. Paras Chawla,   "Analysis of Spectrum Sensing based on Cyclostationary Feature Detection and Access using OFDM and OWDM", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 1, pp.466-474, March 2017, Available at :http://www.ijedr.org/papers/IJEDR1701072.pdf