As we move in to the future there is a rising demand for high performance, high capacityrnand high bit rate wireless communication systems to integrate wide variety ofrncommunication services such as high-speed data, video and multimedia traffic as well asrnvoice signals. As proven by the success of orthogonal frequency division multiplexingrn(OFDM), it provides an efficient means to handle high-speed data streams over a multipathrnfading environment .Conventional OFDM implementation uses Fourier filters for datarnmodulation and demodulation , via the inverse fast Fourier transform (IFFT) and fastrnFourier transform (FFT) respectively. Much research suggests wavelet OFDMrnimplementation provides performance gains over Fourier based OFDM, due to superiorrnspectral containment properties of wavelet filters. All the characteristics of OFDMrnmodulated signals are directly dependent on the set of waveforms of which it makes use.rnSeveral authors have foreseen wavelet theory as good plat form on which to build OFDMrnwaveform bases.rnIn this work the performance of five different most widely used Wavelet bases OFDMrnschemes over wireless channels is studied and wavelet basis that will be suitable forrnOFDM, for its optimum performance gains will be investigated. The bit error rate (BER)rnversus signal-to-noise ratio (SNR) and an elapsed time for simulation of wavelet OFDMrnare used as a measure of the system performance.rnThe results show that the wavelet based orthogonal frequency division multiplexingrn(OFDM) system operates at its optimum performance with wavelets of Daubechies family.