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Optimization of Multi-Frequency Network With DVB-T2 Services for Regions With Complex Geographies: A Case Study of Nepal

机译:具有复杂地理位置的DVB-T2服务的多频网络优化:尼泊尔案例研究

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摘要

Planning for Multi-Frequency Network (MFN) with Digital Video Broadcasting-Second Generation Terrestrial (DVB-T2) services is particularly useful during the transition from analog to digital broadcasting. For efficient management of service area as well as resource allocation, it is necessary to administer the use of network parameters, e.g., transmit power, frequency channels, and antenna parameters. This article, therefore, proposes a coverage maximization scheme for the MFN with the DVB-T2 system by using the Genetic Algorithm. In order to effectively perform the optimization over regions with diverse geographical structures, a propagation prediction method considering the complex orography together with Digital Elevation Model is used to predict signal strength at each receiving location. Based on the received signal strength and standard Quality of Service criteria, the overall radio coverage of the network is maximized using the optimum values of transmit power levels, frequency channels, and antenna parameters. Although our analysis and simulations are based on the MFN network in Nepal, the methodology presented in this work can be applied in any region with some alterations in geographical and meteorological parameters.
机译:使用数字视频广播 - 第二代地面(DVB-T2)服务的多频网络(MFN)规划在从模拟到数字广播的转换期间特别有用。为了有效管理服务区域以及资源分配,需要使用网络参数,例如传输功率,频率信道和天线参数来管理使用。因此,本文提出了通过使用遗传算法的具有DVB-T2系统的MFN的覆盖最大化方案。为了有效地对具有不同地理结构的区域进行优化,将复杂的地形与数字高度模型一起考虑复杂性地的传播预测方法用于预测每个接收位置的信号强度。基于所接收的信号强度和服务标准的标准质量,使用传输功率电平,频率通道和天线参数的最佳值来最大化网络的整体无线电覆盖。虽然我们的分析和仿真基于尼泊尔的MFN网络,但该工作中提出的方法可以应用于地理和气象参数的一些改变。

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