Performance Analysis of Cache-Enabled Handover Management for Vehicular Networks

Emerging vehicular applications and high data demands have led to an increasing need for storage and computational resources in vehicular networks (VNs). Due to the limited resource availability, it is challenging to provide high-quality of service (QoS) to the end users. In our work, we propose a cache-enabled handover management scheme leveraging proactive caching at mobile terminals (MTs) to minimize handovers (HOs) and improve the average rate of the network. We employ a stochastic geometry approach to analyze the network performance, where the small base stations (SBSs) are distributed as 1-D Poisson point process (PPP). Considering the time overhead for each handover, we derive the analytical expression for the effective average rate experienced by the typical MT. We derive the distribution of total interference power experienced by the MT at a given time instant. Further, we calculate the minimum cache size required to obtain the maximum average rate in the network for a noise-limited and interference-dependent network. Finally, we study the impact of frequency reuse on the network performance and obtain an optimal value of frequency reuse factor for which the interference-dependent network offers the same performance as the noise-limited network for a given play rate.