An Analysis on Caching Placement for Millimeter/Micro Wave Hybrid Networks

TL;DR

This paper investigates optimal probabilistic caching strategies in hybrid mmWave and micro wave networks using stochastic geometry, aiming to maximize file delivery success probability considering various environmental factors.

Contribution

It introduces a joint optimization framework for caching placement in hybrid networks, considering both noise and interference environments, and provides a comparative analysis with existing caching schemes.

Findings

Proposed caching scheme outperforms uniform, popular, and random caching methods.

Derived upper bounds for file delivery success probability.

Analyzed impact of blockages, cluster radius, and BS density on caching performance.

Abstract

In this paper, we consider a hybrid millimeter wave (mmWave) and micro wave ($\mu$Wave) network from the perspective of \emph{wireless caching} and study the optimal probabilistic content/file caching placement at desirable base stations (BSs) using a stochastic geometric framework. Considering the average success probability (ASP) of file delivery as the performance metric, we derive expressions for the association probability of the typical user to the mmWave and $\mu$Wave networks. Accordingly, we provide an upper bound for the ASP of file delivery and formulate the content caching placement scheme as an optimization problem with respect to caching probabilities, that jointly optimizes the ASP of file delivery considering both content placement and delivery phases. In particular, we consider the caching placement strategy under both noise-limited and interference-limited environments. We numerically evaluate the performance of the proposed caching schemes under essential factors, such as blockages in the mmWave network, cluster radius, BS density, and path loss and compare it with uniform caching placement, caching $M$ most popular contents, and random caching placement. Numerical results demonstrate the superiority of the proposed caching scheme over others, albeit certain trade-offs.