IEEE Access · 2019 · 104 citations · 33 references
ComputingCloud ComputingInformation TechnologyCloud InfrastructureCloud NetworkingMobile ComputingEnergy ConservationEnergy Efficiency RequirementsMobile Cloud ComputingMobile NetworksRenewable EnergyWireless Networks5G Mobile Networks5G NetworksCloud Computing ArchitecturesEnergy Efficiency In Mobile NetworksEnergy-efficient NetworkingGreen Mobile NetworkingGrid IntegrationSmart Grid Integration
The 5G deployment race has accelerated with rapid standardization, market availability of equipment, spectrum auctions, and early non‑standalone services. This paper examines current and future wireless networks for energy efficiency and sustainability, guided by the EU Celtic‑Plus SooGREEN Project, and identifies open opportunities for future development. We propose monitoring and evaluation methods for 5G energy efficiency, and solutions such as virtualized/cloud architectures, efficient polar coding, renewable‑energy powering, smart‑grid integration, passive cooling, and smart sleeping modes to reduce consumption and carbon footprint. The SooGREEN Project demonstrates that these measures can enhance the green nature of networks compared to existing technologies.
The heated 5G network deployment race has already begun with the rapid progress in standardization efforts, backed by the current market availability of 5G-enabled network equipment, ongoing 5G spectrum auctions, early launching of non-standalone 5G network services in a few countries, among others. In this paper, we study current and future wireless networks from the viewpoint of energy efficiency (EE) and sustainability to meet the planned network and service evolution toward, along, and beyond 5G, as also inspired by the findings of the EU Celtic-Plus SooGREEN Project. We highlight the opportunities seized by the project efforts to enable and enrich this green nature of the network as compared to existing technologies. In specific, we present innovative means proposed in SooGREEN to monitor and evaluate EE in 5G networks and beyond. Further solutions are presented to reduce energy consumption and carbon footprint in the different network segments. The latter spans proposed virtualized/cloud architectures, efficient polar coding for fronthauling, mobile network powering via renewable energy and smart grid integration, passive cooling, smart sleeping modes in indoor systems, among others. Finally, we shed light on the open opportunities yet to be investigated and leveraged in future developments.
33
How much energy is needed to run a wireless network?
Gunther Auer, Vito Giannini, Claude Desset et al. · IEEE Wireless Communications · 2011 · 1.5K citations
From opencl to high-performance hardware on FPGAS
Tomasz Czajkowski, Utku Aydonat, Dmitry Denisenko et al. · 2012 · 239 citations
Engineering, Computer Science, High-performance Computing +15