On Meta Distribution and Local Delay for Cache-Enabled Networks with Random DTX: Analysis and Optimization

TL;DR

This paper provides a detailed stochastic geometry-based analysis of cache-enabled networks, deriving the meta distribution of SIR, local delay metrics, and proposing optimization of caching and transmission probabilities to improve network performance.

Contribution

It introduces a comprehensive analysis of the meta distribution and local delay in cache-enabled networks with random DTX, including closed-form expressions and optimization strategies.

Findings

Optimized caching and BS activity probabilities improve network performance.

Derived closed-form expressions for mean and variance of local delay.

Numerical results show the effectiveness of proposed schemes over existing strategies.

Abstract

A fine-grained analysis of the cache-enabled networks is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference ratio (SIR) for the cache-enabled networks where the locations of the base stations (BSs) are modeled as a Poisson point process (PPP). With the application of the random caching and the random discontinuous transmission (DTX) schemes, we derive the moments of the conditional successful transmission probability (STP), the exact meta distribution and its beta approximation by utilizing stochastic geometry. The closed-form expressions of the mean and variance of the local delay (i.e., the network jitter) are also derived. We then consider the maximization of the mean STP and the minimization of the average system transmission delay by jointly optimizing the caching probability and the BS active probability. Finally, the numerical results demonstrate the superiority of the proposed optimization schemes over the existing caching strategies and reveal the impacts of the key network parameters on the cache-enabled networks in terms of mean STP, STP variance, meta distribution, mean local delay and network jitter.