Energy modeling and optimization of radio access network using stochastic deployment models

Operators are studying different solutions and scenarios of future networks that could sustain the expected traffic huge demand while maintaining a good quality of service and reducing environmental impact. In this paper, the optimal BS (Base Station) density for cellular networks to minimize network energy cost is analyzed with stochastic geometry theory. We provide an analytic expression of the optimum while taking into account different parameters including the technical environment of base stations, broadcasting power, data transmission power and radio environment. We use the developed model to analyze the power consumption of a recently introduced green network scenario were signaling and data are handled by different BS in the wireless access network. Based on the parameters from GreenTouch, we show that the recently introduced scenario compared to the traditional cellular network can reduce about 55% of the total energy cost in dense Urban area, and about 63% in rural areas.