Handoff Decision Using a Kalman Filter and Fuzzy Logic in Heterogeneous Wireless Networks

Handoff decision is key to service continuity when a user roams about. We propose a Kalman filtering and fuzzy logic approach to reducing handoff initiations, so as to support seamless communication. Kalman filtering is used as a channel equalization technique in channel propagation model, while a M...

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Bibliographic Details
Published in:IEEE communications letters 2015-12, Vol.19 (12), p.2258-2261
Main Authors: Kustiawan, Iwan, Kuang-Hui Chi
Format: Article
Language:English
Subjects:
Channels
Computer simulation
Equalization
Fuzzy logic
heterogeneous wireless networks
Kalman filter
Kalman filtering
Kalman filters
Load modeling
Signal strength
Terminals
Vertical handoff decision
Wireless LAN
Wireless networks
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Summary:Handoff decision is key to service continuity when a user roams about. We propose a Kalman filtering and fuzzy logic approach to reducing handoff initiations, so as to support seamless communication. Kalman filtering is used as a channel equalization technique in channel propagation model, while a Mamdani fuzzy logic is applied subsequently for handoff decision. Several metrics such as received signal strength (RSS), data rate, velocity of mobile terminal, and traffic load are considered as criteria to initiate handoff from WLAN to the cellular network. Simulation results show that the proposed method reduces handoff initiations effectively.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2015.2495212