• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International symposium on Personal, Indoor, and Mobile Radio Communications >Environment-based roadside unit deployment for urban scenarios
【24h】

Environment-based roadside unit deployment for urban scenarios

机译：针对城市场景的基于环境的路边单元部署

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Vehicular communications are increasingly gaining importance in research and industry as a viable communication technology, which makes cost-efficient and reliable deployment strategies a key aspect for the planning of a communication network infrastructure. The most critical aspect, and at the same time, the biggest challenge is to obtain a total connectivity between the vehicles and the network elements. In this paper, an environment-based deployment strategy is developed, obtaining an optimal number and distribution of RSUs in a selected area while maximizing the connectivity of the network. The main distinctive aspect of the proposed strategy is the use of an environment-based radio channel model, which is specific for a given urban area. Once the site-specific propagation parameters of the proposed radio channel model are obtained, the optimal RSU distribution is achieved by solving a multi-objective, integer linear program. In addition, a metaheuristic algorithm based on tabu-search is proposed for the solution. The network optimization scheme suggested in this work shows an enhanced coverage granting an always on connectivity for vehicle-to-infrastructure networks. Furthermore, due to the optimal number of RSUs, the cost of the network is minimized, which makes the deployment strategy feasible for real scenarios.
机译：车载通信作为一种可行的通信技术在研究和行业中正变得越来越重要，这使具有成本效益和可靠的部署策略成为通信网络基础结构规划的关键方面。同时，最大的挑战是最大的挑战，就是要在车辆和网络元素之间获得全面的连接。在本文中，开发了一种基于环境的部署策略，该方法可在选定区域中获得最佳RSU数量和分布，同时最大化网络的连通性。拟议策略的主要特色是使用基于环境的无线电信道模型，该模型特定于给定的城市区域。一旦获得了所提出的无线电信道模型的特定于站点的传播参数，就可以通过求解多目标整数线性程序来获得最佳RSU分布。另外，提出了一种基于禁忌搜索的元启发式算法。在这项工作中建议的网络优化方案显示了增强的覆盖范围，从而使车辆到基础设施网络始终保持连通性。此外，由于RSU的最佳数量，网络成本得以最小化，这使得部署策略可用于实际方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号