HMM-BASED QUALITY OF SERVICE SURVIVABILITY IN MOBILE CELLULAR NETWORKS

M. E. EKPENYONG1, D. E. ASUQUO

Abstract


The degree of system survivability is governed by
the deployed service protocol or internal information transfer
mechanism, and despite the advances recorded in wireless network
research, survivability still remains an open issue. This
paper investigates the impact of failures on mobile cellular networks
using the Hidden Markov Model (HMM) framework. Under ideal operation conditions, an experimental 3.75G test-bed was simulated. From the simulation, it was observed that reducing the number of general channels negatively impacts on new and handoff calls. To guarantee dependability and prevent the system from severe degradation, a saturation phase was imposed to ensure self-healing, such that handoff requests do not exceed the prioritization index. To model the system dynamics, two HMM-based systems were developed using empirical data obtained from an operating carrier. An evaluation of the training showed that system failure rates can be well tolerated through the efficient utilization of available guard channels, and the best Viterbi trace obtained from path with less node failures. Further analysis of the results demonstrated that the proposed framework improved the system performance, and regardless of an increase in the arrival rate, the probability of new call blocking stabilized below the recommended threshold after 25% of the channels was utilized.

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