Abstract
This study focuses on improving the functioning of multiband Orthogonal Frequency Division Multiplexing (OFDM) system by utilizing wavelet transform as a substitute to Fast Fourier Transform (FFT). The performance is further refined by apt inclusion of modulation technique. Error control codes are utilized which aims at the removal of error from the transmitted bits. In addition to attain diversity Alamouti code is concatenated with error control codes. OFDM is the best fit for cognitive radio and sensing the free holes is the key task of any cognitive system. This study additionally also analyses the performance of energy detection based spectrum sensing in the presence of various noise models.
Highlights
The wide spectral width of ultra wide band spectrum extending from 3.1 to 10.6 GHz makes it difficult to handle
The performance metric is Bit Error Rate (BER) versus Eb/N0 curve plotted for the multiband Orthogonal Frequency Division Multiplexing (OFDM) system
The performance of DWT based MB-OFDM is monitored for Symlet and Haar wavelet families
Summary
The wide spectral width of ultra wide band spectrum extending from 3.1 to 10.6 GHz makes it difficult to handle. To overcome these challenges multiband OFDM came into existence by virtue of its high data rates, less power consumption and need of less silicon space (Balakrishnan et al, 2003). Change of 45° between the bits in the symbol and 90° phase shift between symbols It supports two bits at a time .The probability of error is given by: Cognitive radio: Cognitive radio is an artificial intelligence (Haykin, 2005) based device that changes its parameters according to the environment.
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