Abstract
Relayed-based Heterogeneous Wireless Access Networks (RHWAN) is envisioned as the promising network architecture for the future Intelligent Transportation (IT) network infrastructure. It is proposed to provide a candidate infrastructure solution for operators to construct intelligent transportation networks in a cost-effective manner. In this paper, we focus on the Infrastructure Deployment and Dimensioning (IDD) problem under the RHWAN architecture. The IDD problem is formulated as a generic integer linear programming (ILP) model which can optimally: (i) minimize the network deploying cost, (ii) identify the locations of BSs, (iii) identify the association relations between RSs and MBSs, (iv) satisfy the mobile coverage requirements so as to allow the mobile IT user access through BSs. We solve the model using Gurobi, which is the newest ILP solver by now. A series of case studies are conducted to validate the optimization framework and demonstrate the solvability and scalability of the ILP model. Computational results show the significant performance benefits of CoMP in RHWAN in terms of lower cost, larger capacity and higher reliability.
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Bin, L., Jiamei, G., Rongxi, H., Tingting, Y. (2014). Infrastructure Deployment and Dimensioning of Relayed-Based Heterogeneous Wireless Access Networks for Green Intelligent Transportation. In: Sun, Xh., et al. Algorithms and Architectures for Parallel Processing. ICA3PP 2014. Lecture Notes in Computer Science, vol 8631. Springer, Cham. https://doi.org/10.1007/978-3-319-11194-0_37
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DOI: https://doi.org/10.1007/978-3-319-11194-0_37
Publisher Name: Springer, Cham
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