QoE and Cost for Wireless Networks with Mobility under Spatio-Temporal Traffic

Abstract

Mobility is a key factor that influences the spatial and temporal fluctuation of wireless traffic, which is highly coupled with the user experience. Previous researches barely explore the properties of the traffic when the mobility is considered. In this paper, by combining stochastic geometry and queueing theory, we model the spatio-temporal properties of the traffic with mobility. We propose an analytical framework to evaluate the relationship between the perplex traffic and the network performance for both the fast and the partial mobility cases. We derive and bound the success probability and the mean packet throughput for different mobility models, which capture the effect of traffic and mobility on the network performance. Then, the mathematical definitions of the quality of experience (QoE) and the system cost are proposed and evaluated both analytically and numerically. Our results reveal that the QoE does not always increase as the system cost increases, but begins to stabilize when the system cost increases to a certain extent. We also find that mobility in wireless networks may be useful to reduce the delay and improve the QoE. Our work provides a useful reference for the design of wireless networks when the spatio-temporal fluctuation of traffic with mobility is considered.