Intelligent CDMA systems

Direct-sequence Code-division multiple-access (DS-CDMA) has emerged as proper format for communication systems. As a result of multiple-access interference (MAI), inter-symbol interference (ISI), narrowband interference (NBI) and nonlinearities in channels, DS-CDMA systems can suffer deterioration in performance . New techniques to suppress narrow-band and multiple-access interference for spread-spectrum (SS) systems are continually being researched for use in the growing CDMA market. Making CDMA system intelligent is one of them. Intelligent systems require the capabilities for evolution , adaptation and learning . Intelligent systems can be made by the different methods , such as Fuzzy Logic, Neural Networks and Evolution Computation. Each method plays specific role in intelligent systems. As one of the principal constituents of soft computing , fuzzy logic is playing a key role in what might be called high MIQ (machine intelligence quotient) systems. Fuzzy Logic is a practical mathematical addition to classic Boolean logic. The fuzzy inference system (FIS), which is based on the principle of fuzzy logic developed by Zadeh 4 , is a decision-making logic and is used to handle the linguistic concepts. The FIS has drawn a great deal of attention because of its universal approximation ability in the nonlinear problem . This paper explores Intelligent CDMA systems that utilize fuzzy logic for reducing multiple-access interference (MAI).