To satisfy the enormous data transmission demands, caching popular files into memories at user terminals (UTs) is a promising solution, which can alleviate the heavy burden on backhaul links and shorten the transmission delay. In this paper, we study the user caching strategy by exploiting the effect of user mobility. The contact of mobile users is modeled as the Poisson process. Both Zipf distributed and uniform distributed file demands are considered in the caching strategy. To improve user's quality of experience (QoE) for delay sensitive services, we define the user satisfaction metric in terms of the delay time, and maximize it through the proposed caching placement strategy. The mixed equality-inequality constrained optimization problem is solved by the multiplier penalty function (MPF) method. Numerical results reveal that the maximal average user satisfaction is achieved when the file caching coordinates with the file demand.
Mobility-Aware User Caching Strategy with QoE Maximization
01.06.2017
195145 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch