| Summary: | 碩士 === 國立臺灣大學 === 電信工程學研究所 === 91 === Abstract
The integration of heterogeneous wireless access networks is expected in the future. It offers more selections of various services for mobile users. However, to support continuous link as mobile users roam in different networks, the handoff mechanism plays a very important role. Handoff mechanisms consist of handoff decision algorithms and handoff procedure algorithms. For real-time applications, handoff decision algorithm is much more critical because of its irretrievable property. As considering the heterogeneous wireless networks supporting real-time applications, the RSS based handoff decision algorithms with threshold and hysteresis are not suitable. They can’t make handoff decision efficiently and avoid unnecessary handoff simultaneously. Furthermore, it is difficult for them to deal with the asymmetry of bandwidth and signal power of different wireless access networks.
To support multimedia services in the heterogeneous wireless access network, we propose our neural network based handoff algorithm. We simulate our handoff algorithm in the heterogeneous WLAN environment as an example. From the simulation results, our proposed neural network based handoff algorithm could make handoff decision efficiently, avoid unnecessary handoff, and select for higher data rate if available in the mean time.
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