Wideband Automated Planning Tool (WAPT) Prototype Development

R. Gobbi, J. Hay, Nathaniel A Tanner, Larry Lipke, Scot Miller, J. A. Kirk
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引用次数: 0

Abstract

Major focus in this software prototype development is the application of automated algorithmic techniques to the planning of communications services on military and commercial satellite systems. The emphasis to date is on priority-based military systems, but the flexibility to accommodate commercial systems with varied service access mechanisms is built in. The overall goal is to decrease scenario planning times from days-to-weeks to minutes on standard, but, capable laptop computers. This level of performance has been met in developmental testing, and will enable resilient operations of satellite networks by supporting fast reallocation of terminal resources. The types of algorithms employed depend on the application. For service planning when terminal endpoints are within antenna beam coverage areas, a deterministic linear programming algorithm is employed. When beam coverage is not provided for new services, i.e., when many uncovered terminal endpoints exist, a probabilistic approach using a genetic algorithm is employed to heuristically search for antenna beam configurations meeting prioritized access requests. Alternatively, when lower volumes of new, uncovered endpoints exist, specialized beam adjustment algorithms are applied. Additionally, a framework has been developed to enable operations in an enterprise environment with automated service access request (SAR) processes, which further advances resilient satellite network operations.
宽带自动规划工具(WAPT)原型开发
该软件原型开发的主要重点是将自动算法技术应用于军事和商业卫星系统通信服务的规划。迄今为止的重点是基于优先级的军事系统,但内置了适应具有各种服务访问机制的商业系统的灵活性。总体目标是将场景规划时间从标准的、但功能强大的笔记本电脑上的几天到几周减少到几分钟。这一性能水平已在开发测试中得到满足,并将通过支持终端资源的快速重新分配,使卫星网络具有弹性。所采用的算法类型取决于应用程序。对于终端在天线波束覆盖范围内的业务规划,采用确定性线性规划算法。当新业务没有提供波束覆盖时,即存在许多未覆盖的终端时,采用遗传算法的概率方法启发式搜索满足优先访问请求的天线波束配置。或者,当存在较低体积的新未覆盖端点时,应用专门的波束调整算法。此外,还开发了一个框架,以支持在企业环境中使用自动服务访问请求(SAR)流程进行操作,从而进一步推进弹性卫星网络操作。
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