AN ADAPTIVE LOCAL LINEAR REGRESSION METHOD FOR MOBILE SIGNAL STRENGTH WITH APPLICATION TO RESPONSE SURFACE METHODOLOGY

The received signal strength is vital in telecommunication network or technology as it affected by varying environmental factors such temperature (T0C), relative humidity (H%), air quality index (m) and distance from base station (m). In this paper, we seek to find a regression model via circumscribed central composite design that can adequately represent the functional relationship between respective applied response surface methodology with goal obtain settings of these would simultaneously optimize (Long Term Evolution (LTE), Third Generation (3G) second (2G)) technologies. frequently utilized parametric (second-order model), though superior but lack credibility terms misspecification result, optimum setting are miscalculated. addressing pitfall (PRM), introduce flexible adaptive local linear capture trend data, which ordinarily misspecified PRM could not address. application, two models were used results show outperformed counterpart goodness-of-fit statistics, residual plot optimization strength.