Abstract: To coordinate the various access technologies in the 4G communication system, intelligent vertical
handoff algorithms are required. This paper mainly deals with a novel vertical handoff decision algorithm based
on fuzzy logic with the aid of grey theory and dynamic weights adaptation. The grey prediction theory (GPT)
takes 4 sampled received signal strengths as input parameters, and calculates the predicted received signal strength
in order to reduce the call dropping probability. The fuzzy logic theory based quantitative decision algorithm takes
3 quality of service (QoS) metric, received signal strength (RSS), available bandwidth (BW), and monetary cost
(MC) of candidate networks as input parameters. The weight of each QoS metrics is adjusted along with the
networks changing to trace the network condition. The final optimized vertical handoff decision is made by
comparing the quantitative decision values of the candidate networks. Simulation results demonstrate that the
proposed algorithm provides high performance in heterogeneous as well as homogeneous network environments.
LIU Xia (刘 侠), JIANG Ling-ge (蒋铃鸽)
. A Novel Vertical Handoff Algorithm Based on Fuzzy Logic in Aid of Grey Prediction Theory in Wireless Heterogeneous Networks[J]. Journal of Shanghai Jiaotong University(Science), 2012
, 17(1)
: 25
-030
.
DOI: 10.1007/s12204-011-1137-0
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