Analysis and Optimization of Random Cache in Multi-Antenna HetNets with Interference Nulling

TL;DR

This paper develops a stochastic geometry-based framework to analyze and optimize random caching strategies in multi-antenna HetNets with interference nulling, enhancing per-user throughput by leveraging file diversity gain.

Contribution

It introduces an explicit throughput expression and derives optimal cache probabilities, advancing understanding of cache optimization in interference-aware multi-antenna HetNets.

Findings

Optimal cache probabilities maximize per-user throughput.

Interference nulling fully exploits file diversity gain.

The proposed scheme achieves promising throughput performance.

Abstract

From the perspective of statistical performance, this paper presents a framework for the per-user throughput analysis in random cache based multi-antenna heterogeneous networks (HetNets) with user-centric inter-cell interference nulling (IN). Using tools from stochastic geometry, an explicit expression for the per-user throughput is derived. Based on the analytical results, the optimal cache probabilities for maximizing the per-user throughput are analyzed. Theoretical analysis and numerical results reveal that the optimal random cache under interference nulling fully harvests the file diversity gain (FDG) and achieves a promising per-user throughput.