Naldi's Markov chain model offers an analytical framework to understand user behaviors in competitive environments involving two operators, such as Internet Service Providers (ISPs). The model investigates the influence of blocking probability and initial user preferences on traffic distribution between operators. In its original form, the model assumes a "call-by-call" basis, where users switch operators after a failed call attempt, favoring operators with lower blocking probabilities.
This paper extends the model by introducing a "two-call"
attempt framework, allowing users to make two consecutive attempts with the
same operator before switching. Results show that this modification
significantly enhances traffic share for operators, particularly those with
higher blocking probabilities, as it reduces immediate traffic loss following a
single failure.
A comparative analysis between the call-by-call and two-call
models reveals that the latter improves traffic retention, increases connection
success rates, and decreases churn. This study underscores the critical impact
of blocking probabilities on user behaviors and demonstrates how the two-call
model mitigates these challenges to optimize traffic distribution.
The findings highlight the value of user behaviors modelling for
network optimization, providing actionable insights for ISPs and operators. By
adopting the two-call approach, operators can improve quality of service (QoS),
manage congestion effectively, and retain users more successfully in
competitive markets.
Author
(s) Details
Virendra Kumar Tiwari
Department of Computer Applications, Lakshmi Narain College of Technology
(MCA), Bhopal, M.P. 462022, India.
Please see the book here:- https://doi.org/10.9734/bpi/mcsru/v1/3863
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