Performance Estimation of STCDMA on Various Channels for Effective Meta Data

Wavelet theory has emerged as a new mathematical tool and the important area of application of wavelets in communication: multiple accesses. Among the multiple access applications one of the most notable work is wavelet packet-based multiple access communication. The two new multiple access systems are Scale-Time-Code Division Multiple Access (STCDMA) and Scale-Code Division Multiple Access (SCDMA). In a STCDMA system, the channel is partitioned into different scales, and each scale into different time slots. This system uses Direct-Sequence (DS) Code-Division Multiple Access (CDMA) in each time slot to identify multiple users. These systems are analysed over a synchronous Additive White Gaussian Noise (AWGN) by using a conventional detector and a multiuser detector. Kasami sequences are optimal since the maximum cross correlation value achieves the Welch Lower Bound. The main purpose of using Kasami sequences is that, it decreases the multiple access interference. This paper deals with STCDMA over synchronous AWGN, Rayleigh channel and for different modulation schemes by using a multiuser detector. The main aim of multiuser detector is to mitigate the multiple access interference (MAI) and to improve the performance of STCDMA.