Abstract
Location estimation finds its applications in many important decisions in cellular networks. Hand offs, cellular fraud detection and location sensitive billing are some of the examples. Many different techniques are currently in use. This work first gives an overview of conventional location estimation techniques and applications, and a new signal-strength based neural network technique is then presented. A mobile architecture based on a simulated urban environment is used to assess the generalization performance of the feed forward multi-layered perceptron (MLP) neural network.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - INMIC 2003 |
| Subtitle of host publication | IEEE 7th International Multi Topic Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 146-150 |
| Number of pages | 5 |
| ISBN (Electronic) | 0780381831, 9780780381834 |
| DOIs | |
| State | Published - 2003 |
| Externally published | Yes |
Publication series
| Name | Proceedings - INMIC 2003: IEEE 7th International Multi Topic Conference |
|---|
Bibliographical note
Publisher Copyright:© 2003 IEEE.
Keywords
- Cellular networks
- Central office
- Communication switching
- Global Positioning System
- Intelligent networks
- Land mobile radio cellular systems
- Mathematical model
- Neural networks
- Telephone sets
- Telephony
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Signal Processing
- Modeling and Simulation
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