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

机译:绿色智能交通中基于中继的异构无线接入网络的基础设施部署和规模确定

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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访问网络(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体系结构。提议为运营商提供一种候选基础​​设施解决方案,以经济高效的方式构建智能交通网络。在本文中,我们将重点放在RHWAN架构下的基础架构部署和规模确定(IDD)问题上。 IDD问题被表述为通用整数线性规划(ILP)模型,该模型可以最佳地:(ⅰ)最小化网络部署成本,(ⅱ)识别BS的位置,(ⅲ)识别RS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BS进行访问。我们使用Gurobi求解模型,Gurobi是目前最新的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模型的可解性和可伸缩性。计算结果表明CoMP在RHWAN中的显着性能优势在于其成本更低,容量更大,可靠性更高。

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