A QoE-Aware Nonlinear Fuzzy Radio Resource Management Approach for Revenue Enhancement

In this article, the problem of radio resource management is addressed by adjusting the tradeoff between two key quality of experience (QoE) influencing factors, namely transmission rate, and service price. To this end, a piecewise utility function is employed to assess the user QoE in three different quality classes. It comprises the combination of two utility functions corresponding to the transmission rate and the service price. A low-complexity fuzzy-based approach is then introduced to reallocate additional resources to dissatisfied users to increase the number of satisfied users. The simulation results indicate the efficiency and applicability of the novel approach in terms of increasing the service provider revenue while providing approximately the same overall QoE and power consumption. The results also show proposed approach achieves an improvement of at least 15% in total service provider revenue on average compared to other methods.

Automated summary

This article addresses the problem of radio resource management by adjusting the tradeoff between transmission rate and service price. It introduces a low-complexity fuzzy-based approach to reallocate additional resources and increase the number of satisfied users and service provider revenue.