Fuzzy logic based dynamic pricing scheme for provision of QoS in cellular networks

Accurate forecasting of demand for cellular services is essential. The high infrastructure implementation costs involved plus overestimation of demand can be very costly. In addition the difference between peak and off-peak demands for wireless services can be very significant, both temporary and spatially. Gearing the network to meet peak demand would result in under-utilised network capacity most of the time. It has been suggested that real-time or dynamic pricing (variation of tariff according to network utilization) could provide an additional strategy for encouraging more efficient use of available resources. The aim of this research work is to investigate the implementation a Fuzzy Logic Controlled Dynamic Pricing (FLCDP) in a simulated cellular network for improved quality of service (QoS). Improvement in revenue collection is also investigated. Simulations were carried out using MATLAB. The results show that the network utilization is improved and an increase in the system availability and reliability: which are the two major parameters for QoS measurement. The revenue collected under FLCDP is greater than under flat rate pricing.