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LMS-Wiener Model for Resources Prediction of Handoff Calls in Multimedia Wireless IP Networks  

Lee, Jin-Yi (청운대학교 전자공학과)
Lee, Kwang-Hyung (숭실대학교 정보통신전자공학부 컴퓨터신호처리연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.30, no.2A, 2005 , pp. 26-33 More about this Journal
Abstract
Exact prediction of resource demands for future calls enhances the efficiency of the limited resource utilization in resource reservation methods for potential calls in wireless IP networks. In this paper, we propose a LMS-Wiener resource(bandwidth) prediction for future handoff calls, and then an the proposed method is compared with an existing Wiener-based method in terms of prediction error through our simulations. In our simulations, we assume that handoff call arrivals follow a non-Poisson process and each handoff call has an non-exponentially distributed channel holdingtime in the cell, considering that handoff call arrival pattern is not Poisson distribution but non-Poisson for long periods of time in wireless picocellular IP networks. Simulation results show that the prediction error in the proposed method converges to the lower value while in an existing method increase as time is passed. Therefore we may conclude that the proposed method improves the efficiency of resource utilization by more exactly predicting resource demands for future handoff calls than an existing method.
Keywords
LMS-Wiener Model; Resource Prediction; Handoff Calls; Wireless IP Networks;
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