Caching at the Edge: a Green Perspective 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.

to be presented at IEEE International Conference on Communications (ICC), London, UK, 2015

References in corpus (2)

• Optimal Geographic Caching In Cellular Networks
• On Fundamental Trade-offs of Device-to-Device Communications in Large Wireless Networks

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• Mean-Field Game Theoretic Edge Caching in Ultra-Dense Networks
• Tile-Based Joint Caching and Delivery of $360^o$ Videos in Heterogeneous Networks
• Ultra-Dense Edge Caching under Spatio-Temporal Demand and Network Dynamics
• Energy Efficiency in Cache Enabled Small Cell Networks With Adaptive User Clustering