Prediction Accuracy Enhancement Based on Adaptive Reporting Schemes of Mobile's Mobility Status Information 


Vol. 32,  No. 7, pp. 778-784, Jul.  2007


PDF
  Abstract

Predictive channel reservation techniques have widely been studied in mobile cellular networks in order to meet the desired quality-of-service requirements. Those efforts are mostly concentrated on predicting the target cell that a mobile will move to and reserving the channel before the actual handoff, and subsequently reducing handoff-dropping probability and improving bandwidth utilization. In this paper, we propose adaptive reporting schemes that a mobile reports its mobility status information such as position, speed, and direction in an appropriate moment based on the user's mobility pattern characteristics and, hence the network can make a more-accurate prediction on the user's mobility. We show from the simulations that the proposed scheme is capable of keeping target cell prediction more accurate and required number of reporting through the wireless up-link channel lower.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

Y. Ko, J. Bae, J. Park, "Prediction Accuracy Enhancement Based on Adaptive Reporting Schemes of Mobile's Mobility Status Information," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 7, pp. 778-784, 2007. DOI: .

[ACM Style]

Yongchae Ko, Junghwa Bae, and Jinwoo Park. 2007. Prediction Accuracy Enhancement Based on Adaptive Reporting Schemes of Mobile's Mobility Status Information. The Journal of Korean Institute of Communications and Information Sciences, 32, 7, (2007), 778-784. DOI: .

[KICS Style]

Yongchae Ko, Junghwa Bae, Jinwoo Park, "Prediction Accuracy Enhancement Based on Adaptive Reporting Schemes of Mobile's Mobility Status Information," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 7, pp. 778-784, 7. 2007.