Applications of Fuzzy System Theory to Telecommunications

Publisher Summary This chapter discusses the application of fuzzy system theory to several areas of telecommunications—namely, signal detection in communication channels, channel equalization, call acceptance and routing, power control, pseudo-random sequence generation, phase detection, and vehicular location. The standard fuzzy system consists of three basic components: the input vector, the fuzzy membership functions, and the “defuzzifier.” The input vector provides the information necessary to characterize the system to be designed. The fuzzy membership functions serve the purpose of mapping the input feature vector into fuzzy values. The defuzzifier is the final component in the fuzzy system. The defuzzifier maps the fuzzy output from the system into a deterministic or “crisp” value. The chapter discusses one of the basic problems in establishing a good communication link in many communication systems—that is, the optimal detection of a known signal observed in noise. An application of fuzzy logic to the communication system is in the design of channel equalizers. Power control refers to a method of combating the near-far effect often found in mobile communication systems. The application of fuzzy system theory to communications networks is establishing optimal usage of network resources based on specific criteria.

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