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.
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Acknowledgement
This study is sponsored by National Science Foundation of China (NSFC) No. 61371091, No. 61171175 and No. 61301228, the National Science Foundation of Liaoning Province No. 2014025001, and Program for Liaoning Excellent Talents in University (LNET) No. LJQ2013054 and Fundamental Research Funds for Central Universities under grant No. 3132015045.
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Hou, X., Lin, B., He, R., Wang, X., Yu, T. (2015). Infrastructure Deployment and Optimization for Cloud-Radio Access Networks. In: Xu, K., Zhu, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2015. Lecture Notes in Computer Science(), vol 9204. Springer, Cham. https://doi.org/10.1007/978-3-319-21837-3_20
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DOI: https://doi.org/10.1007/978-3-319-21837-3_20
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