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http://dx.doi.org/10.3745/KIPSTC.2007.14-C.3.305

An Adaptive Received Signal Strength Prediction Model for a Layer 2 Trigger Generator in a WLAM System  

Park, Jae-Sung (수원대학교 인터넷정보학과)
Lim, Yu-Jin (수원대학교 정보미디어공학과)
Kim, Beom-Joon (계명대학교 전자공학과)
Abstract
In this paper, we present a received signal strength (RSS) prediction model to timely Initiate link layer triggers for fast handoff in a wireless LAN system. Noting that the distance between a mobile terminal and an access point is not changed abruptly in a short time interval, an adaptive RSS predictor based on a stationary time series model is proposed. RSS data obtained from ns-2 simulations are used to identity the time series model and verify the predictability of the RSS data. The results suggest that an autoregressive process of order 1 (AR(1)) can be used to represent the measured RSSs in a short time interval and predict at least 1-step ahead RSS with a high confidence level.
Keywords
Layer 2 trigger; Adaptive RSS Model; Autoregressive Process; RSS Predictability ";
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