Mobility Prediction Scheme for Wireless Cellular Networks

Authors

  • Maher Al-Sanabani 1Department of Computer Science, Faculty of Computer Science and Information Systems, Thamar University, Thamar, Yemen Author
  • Fua'ad H Abdulrazzak and Shamala Subramaniam Department of Communication Technology and Networks, Faculty of Computer Science and Information Technology, University Putra Malaysia (UPM), 43400, Selangor, Malaysia. Author

Keywords:

Global Position System (GPS), Received Signal Strength (RSS), mobility prediction, wireless cellular network

Abstract

New upcoming wireless cellular networks aim to support a broad range of multimedia services to Mobile Terminal (MT) with guaranteed Quality of Services (QoS). The continuity of multimedia streams during handoff poses a great challenge. Therefore, in this paper, we propose a predictive scheme with more reality assumptions. The proposed scheme integrates the Global Position System (GPS) and Received Signal Strength (RSS) measurement to provide a better QoS guaranties. The performance of the proposed scheme is evaluated through discrete simulation of realistic wireless cellular environment. Simulation results show that the proposed scheme as compared to the existing schemes is efficient to reduce the Handoff Call Dropping Probability (HCDP), the New Call Blocking Probability (NCBP) and the number of terminated ongoing calls of non-real time traffic. In addition, it is efficient reduce the cancels reservation, the singling overhead and increase the system bandwidth utilization.

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Published

2025-09-21

Issue

Section

Articles

How to Cite

Mobility Prediction Scheme for Wireless Cellular Networks. (2025). Journal of Yemen Academy for Graduate Studies, 1(1), 315-324. https://yemenacademy.edu.ye/journal/index.php/YAGS/article/view/19

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