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.

中文翻译：

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DVB-T2服务在地理复杂地区的多频网络优化：以尼泊尔为例

在从模拟广播到数字广播的过渡过程中，使用数字视频广播第二代地面（DVB-T2）服务规划多频网络（MFN）尤其有用。为了有效地管理服务区域以及资源分配，有必要管理网络参数的使用，例如，发射功率，频率信道和天线参数。因此，本文通过遗传算法提出了DVB-T2系统对MFN的覆盖最大化方案。为了在具有不同地理结构的区域上有效地执行优化，考虑了复杂地形的传播预测方法与数字高程模型一起用于预测每个接收位置的信号强度。根据接收到的信号强度和标准服务质量标准，使用发射功率电平，频率信道和天线参数的最佳值来最大化网络的整个无线电覆盖范围。尽管我们的分析和模拟是基于尼泊尔的最惠国待遇网络，但本文中介绍的方法可以在地理和气象参数有所变化的任何地区使用。