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http://dx.doi.org/10.3745/KIPSTC.2005.12C.1.069

A Performance Improvement of Resource Prediction Method Based on Wiener Model in Wireless Cellular Networks  

Lee Jin-Yi (청운대학교 전자공학과)
Publication Information
The KIPS Transactions:PartC / v.12C, no.1, 2005 , pp. 69-76 More about this Journal
Abstract
To effectively use limited resources in wireless cellular networks it is necessary to predict exactly the amount of resources required by handoff calls at a future time. In this paper we propose a method which predicts the amount of resources needed by handoff calls more accurately than the existing method based on Wiener processes. The existing method uses the current demands to predict future demands. Although this method is much simpler than using traffic information from neighbor cells, its prediction error increases as time elapses, leading to waste of wireless resources. By using an exponential parameter to decrease the magnitude of error over time, we show in simulation how to outperform the existing method in resource utilization as well as in prediction of resource demands.
Keywords
Wireless Cellular Network; Wiener Model; A Decreasing Exponential Parameter; Resource Prediction;
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