Best bases selection for wavelet domain communication systems towards dynamic spectrum access

The ever growing demand for wireless services has placed enormous burden on valuable resources such as spectral bandwidth. This has resulted in a major rethinking in resource allocation policies culminating in an explosion of research activity towards dynamic spectrum access (DSA) for optimum spectrum usage. wavelet domain communication system (WDCS) has been propounded as a suitable candidate for DSA. WDCS uses transform domain processing where wavelet analysis is used to gauge the environment, identify interference zones and reshape the transmission waveform profile. In this article we present a survey on the performances of various wavelet families for a packet based WDCS. The attempt is to understand the impact of waveshapes on the performance of the WDCS. Various wavelet families including Daubechies, Coiflet, Symlet, Maximally Frequency selective wavelets, Meyer and Bi-orthogonal wavelets are considered. The results of this study will be useful in deducing the best bases for WDCS system design in the context of DSA applications.