Neural Network Handoff Decision in Mobile Cellular using Received Signal Strength and Traffic Intensity

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Published: Jun 30, 2003

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Pramote Anunvrapong
Phichet Moungnoul

Abstract

This paper proposes the handoff approach by means of Neural Network for mobile telephone system, such as Global System for Mobile communication (GSM), especially focus on received signal strength (RSS) and traffic intensity (TI). A model of Base Transceiver Station (BTS) or cell, 7 cells, that have several traffic intensity. And using the principle of the mobiles in the hysteresis area can connect to more than one cell for handoff to the lower traffic intensity cell. The result shown that the proposal can reduce the drop calls, keeps the call blocking for acceptation of Grade of Service (GOS) and decreases the unnecessary handoffs)

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How to Cite
Anunvrapong, P., & Moungnoul, P. (2003). Neural Network Handoff Decision in Mobile Cellular using Received Signal Strength and Traffic Intensity. Journal of Engineering, RMUTT, 3, 27–32. Retrieved from https://ph01.tci-thaijo.org/index.php/jermutt/article/view/242351
Issue
Vol. 3 (2003): Journal of Engineering, RMUTT Year 2 Issue 3 2003
Section
Research Articles

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References

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