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Enhanced handover mechanism using mobility prediction in wireless networks.

Khong-Lim Yap1, Yung-Wey Chong1, Weixia Liu2

  • 1National Advanced IPv6 Centre, Universiti Sains Malaysia, USM, Penang, Malaysia.

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|January 25, 2020
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This study introduces an enhanced handover mechanism using mobility prediction (eHMP) to improve mobile network performance. eHMP significantly boosts network throughput and reduces data retransmissions for seamless wireless connectivity.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • Mobile internet usage drives cellular network expansion, incurring high costs.
  • WiFi offloading offers affordable wireless connectivity but faces handover challenges.
  • Current mobile devices lack intelligence for optimal network selection, impacting Quality of Service (QoS).

Purpose of the Study:

  • To present an enhanced handover mechanism using mobility prediction (eHMP).
  • To assist mobile devices in selecting optimal networks for seamless connectivity.
  • To improve Quality of Service (QoS) in mobile data offloading.

Main Methods:

  • Developed an enhanced handover mechanism using mobility prediction (eHMP).
  • Tested eHMP in both homogeneous and heterogeneous wireless network architectures.
  • Integrated mobility prediction with a multipath protocol.

Main Results:

  • In homogeneous networks, eHMP increased throughput by 106% and decreased retransmissions by 85%.
  • In heterogeneous networks, eHMP increased throughput by 55% and decreased retransmissions by 75%.
  • Demonstrated significant improvements in network performance and user experience.

Conclusions:

  • Mobility prediction coupled with multipath protocols enhances mobile device QoS.
  • eHMP enables effective WiFi traffic offloading without performance degradation.
  • The findings support improved network service provider strategies for wireless connectivity.