In this study, an intelligent multi-criteria handoff algorithm that allowed forthe selection of the optimal network segment
based on a variety of parameters was designed and analyzed. The suburban area environment was taken into
consideration in this study. The four input parameters that have been taken into account are the BTS traffic load, RSS,
Path-Loss, and SNR. The general architecture of the suggested algorithm consists of the inputs, fuzzy inference engine,
fuzzy rule base, de-fuzzifier, and fuzzifier. The handoff decision was used to determine whether or not handoff is
the output of the fuzzy inference system. The handoff decision was the only output parameter of the FIS. The
suggested algorithm takes a range of -50dBm to -100dBm for RSS, 50dB to 140dB for path-loss, and 50dB to 50dB for
SNR, from lowest to highest. The traffic load on the BTS spans from 0% to 100%. The results showed that the probability
of the required handoff was lowest when all the parameters are excellent. On the other hand, the probability of a handoff
is maximum when all the parameters are at their worst. Also from the results, it was seen that the handoff
index progressively rises as path loss increases, meaning that a MS with a higher path loss has a higher chance of being
handed off than one with a lower path loss. In the event that the path-loss is becoming worse, a handoff must
occur even if the remaining parameters are sufficient to continue a call. This will guarantee that calls won't be dropped
as a result of the RSS degradation. It implies that in the event that the current serving BTS is failing, a mobile station
would switch over to the target.
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