Success Probability Analysis for Edge Caching in Massive MIMO Networks

Abstract

Edge caching is one of the promising solutions to fulfill the demands in future wireless networks. Considering a multi-cell multi-user massive MIMO (multiple-input-multiple-output) system, in this paper, we analyze average success probability (ASP) measure under the assumption of maximal ratio transmission (MRT) precoding. With respect to caching, ASP represents a measure of both the content placement and delivery performance. For the networks, where the base stations (BSs) and users are distributed as homogeneous Poisson point process (PPP), we show that for interference-limited systems, ASP is independent of the densities of both BS and users, concluding that the evaluation of a given caching scheme depends on the threshold chosen. Simulation results are presented to show the above relations. © 2019 IEEE.