Energy efficient virtual base station formation in optical-access-enabled cloud-ran
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In recent years, the increasing traffic demand in radio access networks has led to significant growth in the number of base stations and energy consumption. This paper proposes forming virtual base stations in an optical-access-enabled Cloud-RAN to improve energy efficiency. A virtual base station is dynamically formed for each cell by assigning virtualized fronthaul links and baseband processing resources. An integer linear program is used to optimize the virtual base station formation. Simulation results show that the proposed virtual base station formation approach achieves significant energy savings compared to traditional radio access networks and Cloud-RAN without virtualization.
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Energy efficient virtual base station formation in optical-access-enabled cloud-ran
- 1. Energy-Efficient Virtual Base Station Formation in Optical-Access-Enabled Cloud-RAN Abstract: In recent years, the increasing traffic demand in radio access networks (RANs) has led to considerable growth in the number of base stations (BSs), posing a serious scalability issue, including the energy consumption of BSs. Optical-access- enabled Cloud-RAN (CRAN) has been recently proposed as a next-generation access network. In CRAN, the digital unit (DU) of a conventional cell site is separated from the radio unit (RU) and moved to the “cloud” (DU cloud) for centralized signal processing and management. Each DU/RU pair exchanges bandwidth-intensive digitized baseband signals through an optical access network (fronthaul). Time-wavelength division multiplexing (TWDM) passive optical network (PON) is a promising fronthaul solution due to its low energy consumption and high capacity. In this paper, we propose and leverage the concept of a virtual base station (VBS), which is dynamically formed for each cell by assigning virtualized network resources, i.e., a virtualized fronthaul link connecting the DU and RU, and virtualized functional entities performing baseband processing in DUcloud. We formulate and solve the VBS formation (VF) optimization problem using an integer linear program (ILP). We propose novel energy-saving schemes exploiting VF for both the network planning stage and traffic engineering stage. Extensive simulations show that CRAN with our proposed VF schemes achieves significant energy savings compared to traditional RAN and CRAN without VF.