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http://www.repository.rmutt.ac.th/xmlui/handle/123456789/1317| Title: | Neural Network Handoff Decision in Mobile Cellular using Received Signal Strength and Traffic Intensity |
| Authors: | Pramote Anunvrapong Phichet Moungnoul |
| Keywords: | Neural Network Network |
| Issue Date: | 2003 |
| Publisher: | Rajamangala University of Technology Thanyaburi. Faculty of Engineering |
| 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) |
| Description: | Journal of Engineering, RIT Volume 3 Issue 2, January – June 2003 |
| URI: | http://www.repository.rmutt.ac.th/dspace/handle/123456789/1317 |
| ISSN: | 1685-5280 |
| Appears in Collections: | บทความ (Article - EN) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Y.02 Vol.3 p.27-32 2003.pdf | Neural Network Handoff Decision in Mobile Cellular using Received Signal Strength and Traffic Intensity | 1.07 MB | Adobe PDF | View/Open |
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