Title :
Neuro-fuzzy controller for reverse link power control of DS-CDMA system over multi-path fading
Author_Institution :
Dept. of Electr. Eng., North-Chiang Mai Univ. (NCU), Chiang Mai
Abstract :
This paper presents the Direct Sequence-Code Division Multiple Access (DS-CDMA) model and the algorithm to control the reverse link closed loop power of DS-CDMA cellular system by using the Neuro-Fuzzy Controller (NFC). The controller´s parameters of this method are selected and adjusted by Genetic Algorithms (GAs). The controller´s inputs are the error between the signal strength of each mobile station and signal strength target (P*) at base station, and the difference of this error. The controller´s output is the increasing or decreasing power. The NFC was then tested to control DS-CDMA model which designed synchronous transmission. In the test, M sequence code used in spread spectrum was utilized under multi-path fading. The experimental results by comparing the operation characteristic of the designed and implement NFC with fuzzy controller (FC) and IS-95 controller show that the NFC gives the power level closed to the target and a lower outage probability.
Keywords :
cellular radio; closed loop systems; code division multiple access; fading channels; fuzzy control; genetic algorithms; multipath channels; neurocontrollers; spread spectrum communication; telecommunication control; DS-CDMA cellular system; direct sequence-code division multiple access; genetic algorithms; multipath fading; neuro-fuzzy controller; outage probability; reverse link closed loop power; reverse link power control; synchronous transmission; Base stations; Control systems; Error correction; Fading; Genetic algorithms; Multiaccess communication; Power control; Power system modeling; Spread spectrum communication; Testing; DS-CDMA; Genetic Algorithms; Neuro-Fuzzy controller (NFC); multi-path fading;
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
DOI :
10.1109/ICARCV.2008.4795755