Analytical energy-efficient planning of 5G cloud radio access network

Riccardo Bassoli (1) , Marco Di Renzo (2) , Fabrizio Granelli (1)

1 UNITN - Università degli Studi di Trento = University of Trento
2 L2S - Laboratoire des signaux et systèmes

5G wireless communication envisions unprecedented changes in current mobile networks in order to guarantee significant higher performance mainly in terms of data rates, latencies and efficiency. This paper provides an analytical model based on stochastic geometry, in order to address the planning and the dimensioning of 5G Cloud RAN. The results shows the requirements in terms of number of virtual base-band units, and the energy gain achieved by virtualisation both in micro-cell and pico-cell scenarios. Thus, the proposed methodology represents a step forward to analyse and compare traditional RAN design with the emerging Cloud RAN paradigm.

Mots clés: Index Terms 5G; virtualisation; cloud computing; consolidation; stochastic geometry; green networks

Domaines: Réseaux et télécommunications [cs.NI]

Riccardo Bassoli, Marco Di Renzo, Fabrizio Granelli. Analytical energy-efficient planning of 5G cloud radio access network. IEEE International Conference on Communications (ICC 2017), May 2017, Paris, France. ⟨10.1109/ICC.2017.7996871⟩. ⟨hal-01880000⟩