Improve the handover decision based on a Kalman filter and fuzzy

Joint Authors

Khudayr, Rula Sami
Abd Allah, Fatin N.
Muhammad, Dhamya H.

Source

Journal of University of Babylon for Engineering Sciences

Issue

Vol. 25, Issue 4 (31 Aug. 2017), pp.1406-1412, 7 p.

Publisher

University of Babylon

Publication Date

2017-08-31

Country of Publication

Iraq

No. of Pages

7

Main Subjects

Information Technology and Computer Science

Abstract EN

The major aim of a Mobile network system is to provide premium Quality of Service (QoS) to the user by an establishment of guaranteed seamless connection between the users.

The radio signal strength has been regularly measured from mobile station and BTS in a cellular network.

If the BTS detects a decrease in the radio signal, it initiates a handoff request.

Many parameters have been effected by the handoff decision.

In this paper, a proposed algorithm has been presented to track the mobile location, distance, and velocity by using Kalman filter, while, monitoring the mobile direction, and measure RSS.

Then applying the Fuzzy Membership Function of RSS and distance to decide the handoff decision.

From the results, it is cleared the advancement in the handoff performance

American Psychological Association (APA)

Khudayr, Rula Sami& Abd Allah, Fatin N.& Muhammad, Dhamya H.. 2017. Improve the handover decision based on a Kalman filter and fuzzy. Journal of University of Babylon for Engineering Sciences،Vol. 25, no. 4, pp.1406-1412.
https://search.emarefa.net/detail/BIM-923484

Modern Language Association (MLA)

Khudayr, Rula Sami…[et al.]. Improve the handover decision based on a Kalman filter and fuzzy. Journal of University of Babylon for Engineering Sciences Vol. 25, no. 4 (2017), pp.1406-1412.
https://search.emarefa.net/detail/BIM-923484

American Medical Association (AMA)

Khudayr, Rula Sami& Abd Allah, Fatin N.& Muhammad, Dhamya H.. Improve the handover decision based on a Kalman filter and fuzzy. Journal of University of Babylon for Engineering Sciences. 2017. Vol. 25, no. 4, pp.1406-1412.
https://search.emarefa.net/detail/BIM-923484

Data Type

Journal Articles

Language

English

Notes

Text in English ; abstracts in English and Arabic.

Record ID

BIM-923484