Temporal-Spatial Aggregation for Cache-Enabled Wireless Multicasting Networks with Asynchronous Content Requests

TL;DR

This paper introduces a novel temporal-spatial aggregation multicasting scheme for large-scale cache-enabled wireless networks, improving spectral efficiency and energy-delay tradeoffs by exploiting asynchronous content requests.

Contribution

It proposes a new multicasting scheme leveraging delay tolerance and stochastic geometry to optimize content delivery in cache-enabled wireless networks.

Findings

Successful transmission probability increases with delay tolerance.

Energy consumption decreases as delay increases.

Asymptotic analysis reveals tradeoffs between energy, throughput, and delay.

Abstract

Existing multicasting schemes for massive content delivery do not fully utilize multicasting opportunities in delay tolerant content-oriented applications. In this paper, we propose a novel temporal-spatial aggregation-based multicasting scheme in a large-scale cache-enabled wireless network. The proposed scheme can efficiently exploit multicasting opportunities in asynchronous content requests to improve spectral efficiency. By making use of the delay tolerance of elastic services, the proposed scheme achieves a better energy-throughput-delay tradeoff. Utilizing tools from stochastic geometry, we derive a tractable expression for the successful transmission probability in the general region. Using asymptotic approximations, we derive closed form successful transmission probabilities in the large delay region as well as the large and small user density regions. The asymptotic results reveal that the successful transmission probability increases and the energy consumption decreases at the cost of delay increase in these asymptotic regions. The analysis in this paper provides a new understanding of the energy-throughput-delay tradeoff for massive content delivery in large-scale cache-enabled wireless networks.