Caching at the Edge: a Green Perspective for 5G Networks

TL;DR

This paper investigates the energy efficiency of caching at the network edge in 5G wireless networks, analyzing power consumption and proposing optimal configurations to enhance sustainability.

Contribution

It introduces a detailed power model considering caching and derives optimal base station transmit power for energy-efficient 5G network operation.

Findings

Caching reduces area power consumption in 5G networks.

Optimal base station transmit power maximizes spectral efficiency per unit energy.

Caching is identified as an energy-efficient solution for 5G networks.

Abstract

Endowed with context-awareness and proactive capabilities, caching users' content locally at the edge of the network is able to cope with increasing data traffic demand in 5G wireless networks. In this work, we focus on the energy consumption aspects of cache-enabled wireless cellular networks, specifically in terms of area power consumption (APC) and energy efficiency (EE). We assume that both base stations (BSs) and mobile users are distributed according to homogeneous Poisson point processes (PPPs) and we introduce a detailed power model that takes into account caching. We study the conditions under which the area power consumption is minimized with respect to BS transmit power, while ensuring a certain quality of service (QoS) in terms of coverage probability. Furthermore, we provide the optimal BS transmit power that maximizes the area spectral efficiency per unit total power spent. The main takeaway of this paper is that caching seems to be an energy efficient solution.