Adaptive Power Control of DS-CDMA Cellular Communication Systems via Fuzzy Optimal Predictive Method

• Main Authors: Chen, Sheng-Kai, 陳聖凱
• Other Authors: Chen, Bor_Sen
• Format: Others
• Language: en_US
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/32946312347233277016

碩士 === 國立清華大學 === 電機工程學系 === 91 === In this study, a fuzzy adaptive power control is proposed to achieve higher communication link quality and better system capacity under uncertain fading, interference and nonlinear transmission power limitation. In order to overcome the round-trip delay, uncertain of interference and nonlinear transmission power limitation, a fuzzy autogressive moving-average model with auxiliary input (Fuzzy ARMAX process) is proposed to model the nonlinear stochastic time-delay power control system. Then the fuzzy ARMAX model is transformed to an equivalent fuzzy predictive model. Based on fuzzy predictive model, an adaptive fuzzy power control is developed to achieve the optimal tracking of the desired signal-to-interference-plus-noise ratio (SINR) under fading, interference and nonlinear transmission limitation. By the proposed method, the effects of larger time delay, fading, interference and nonlinearity can be efficiently mitigated. Finally several simulation results are given to confirm the performance of the proposed fuzzy adaptive power control scheme.