Infrastructure Deployment and Optimization for Cloud-Radio Access Networks

Abstract

Abstract. In the mobile Internet and big data era, wireless networks are facing challenges to transmit the huge amount of data effectively, efficiently and reliably. To deploy a network infrastructure with larger capacity, higher data rate, lower transmission delay, higher spectral efficiency and lower energy consumption, an innovative architecture-the Cloud-Radio Access Network (C-RAN) has been proposed. In this paper, we focus on network planning deployment issue based on the Optical Mixed Diet (OMD) technology. Specifically, the ring and spur topology Optimization (RSTO) problem under the C-RAN architecture is investigated. We solve this RSTO problem using Gurobi. A series of case studies are conducted to validate the optimization framework and demonstrate the solvability and scalability of the RSTO problem. Results also show that cost saving can be achieved by taking advantage of Coordinated Multi-Processing (CoMP) technology.