Analysis and Optimization of Hybrid Caching in mmWave Networks with BS Cooperation

TL;DR

This paper proposes a hybrid caching strategy for mmWave networks with BS cooperation, optimizing success transmission probability and delay using stochastic geometry and solving a complex knapsack problem.

Contribution

It introduces a novel hybrid caching approach with theoretical analysis and optimization methods tailored for mmWave networks with BS cooperation.

Findings

Proposed caching strategy outperforms conventional methods.

Derived explicit expressions for STP and delay.

Validated improvements through numerical simulations.

Abstract

In this paper, we investigate a hybrid caching strategy maximizing the success transmission probability (STP) in a millimeter wave (mmWave) cache-enabled network. First, we derive theoretical expressions of the STP and the average system transmission delay by utilizing stochastic geometry, then we consider the maximization of the STP and the minimization of the average system transmission delay by optimizing the design parameters. Considering the optimality structure of the NP-hard problem, the original problem is transferred into a multi-choice knapsack problem (MCKP). Finally, we investigate the impact of key network parameters on the STP and the average system transmission delay. Numerical results demonstrate the superiority of the proposed caching strategy over the conventional caching strategies in the mmWave cache-enabled networks.