Adaptive C-RAN Architecture for Smart City using Crowdsourced Radio Units

Abstract

The spatio-temporal fluctuation in mobile traffic demand drastically deteriorates the efficiency and financial viability of conventional mobile networks. To address this problem, this paper proposes a concept of adaptive centralized radio access network (C-RAN) architecture for a smart city using crowdsourced radio units (CRUs). The proposed architecture contributes to the efficient deployment of mobile networks and the better use of energy in a smart city. The edge server computes the optimum CRU states and activate/deactivate them based on the traffic information measured by road side units. In this paper we present the basic idea and the evaluation results via numerical analysis.