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Scientific Article details

Title Adaptive C-RAN Architecture Using Crowdsourced Radio Units for Smart City
ID_Doc 38071
Authors So, H; Maruta, K; Nakayama, Y
Title Adaptive C-RAN Architecture Using Crowdsourced Radio Units for Smart City
Year 2023
Published
DOI 10.1109/ACCESS.2023.3301143
Abstract This paper proposes a concept of adaptive centralized radio access network (C-RAN) architecture for a smart city using crowdsourced radio units (CRUs). To efficiently manage the ever-increasing mobile traffic, mobile networks have improved their capacity. The C-RAN architecture with the dense deployment of small cells has become prevalent in today's mobile networks. However, the spatiotemporal fluctuation in traffic demand deteriorates the cost and operation efficiencies of conventional networks. Such fluctuation is expected to be intensified in the future in accordance with the increase in the data rate. To address this problem, the proposed architecture utilizes the power of citizens in the network deployment by employing the concept of vehicle-mounted small cells. The onboard CRUs are activated by edge servers when vehicles move to high-demand areas and deactivated when they move to low-demand areas. This paper also proposes the activation algorithm executed by edge servers based on the traffic information measured by roadside units (RSUs). Computer simulations demonstrate that the proposed scheme can improve network throughput during both daytime and nighttime. The proposed architecture contributes to the efficient deployment of mobile networks and better energy use in a smart city.
Author Keywords C-RAN; mobile networks; crowdsource; vehicular networks
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001045227500001
WoS Category Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications
Research Area Computer Science; Engineering; Telecommunications
PDF https://ieeexplore.ieee.org/ielx7/6287639/6514899/10201841.pdf
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