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Infrastructure Deployment and Dimensioning of Relayed-Based Heterogeneous Wireless Access Networks for Green Intelligent Transportation

机译:基于基于中继的异构无线接入网络的基础设施部署与尺寸,用于绿色智能交通

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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.
机译:基于中继的异构无线接入网络(RHWAN)被设想为未来智能交通(IT)网络基础设施的有前途的网络架构。建议为运营商提供候选基础设施解决方案,以以经济高效的方式构建智能运输网络。在本文中,我们专注于Rhwan架构下的基础设施部署和维度(IDD)问题。 IDD问题被制定为通用整数线性编程(ILP)模型,其最佳:(i)最小化网络部署成本,(ii)标识BSS的位置,(iii)标识RSS和MBS之间的关联关系( iv)满足移动覆盖要求,以便允许移动IT用户通过BSS访问。我们通过Gurobi解决模型,现在是最新的ILP求解器。进行了一系列案例研究以验证优化框架,并证明ILP模型的可解性和可扩展性。计算结果表明,在较低的成本,更大的容量和更高的可靠性方面,Comp在Rhwan中的显着性能优势。

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