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.
Analytical energy-efficient planning of 5G cloud radio access network / Bassoli, Riccardo; Di Renzo, Marco; Granelli, Fabrizio. - (2017), pp. 1-4. ( 2017 IEEE International Conference on Communications, ICC 2017 Parigi, Francia May 21-25, 2017) [10.1109/ICC.2017.7996871].
Analytical energy-efficient planning of 5G cloud radio access network
Bassoli, Riccardo;Di Renzo, Marco;Granelli, Fabrizio
2017-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
