Rodrigo Cortesão, Daniel F. S. Fernandes, Diogo J. A. Clemente, G. Soares, P. Sebastião, L. Ferreira
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引用次数: 3
摘要
在规模不断扩大的移动网络部署中,无线资源的优化和快速规划是一项关键任务。云服务支持高效和可扩展的过程和算法实现。本文提出了使用Amazon Web Services实现基于云的网络规划工作模式的概念验证。它从网络中提取配置和性能数据,能够准确估计小区覆盖范围,识别邻近小区,并在UMTS网络中优化规划扰码(SC)。它被集成在一个SaaS监控和计划工具中。在一个小型规范场景中演示了系统操作。对于具有12484个计划外细胞的现实场景,SCs的规划可以在不到8秒的时间内有效地实现,并保证一阶相邻细胞之间不发生碰撞。
Cloud-based Implementation of a SON Automatic Planning System: a proof-of-concept for UMTS
In mobile network deployments of growing size, the optimum and fast planning of radio resources are a key task. Cloud services enable efficient and scalable implementation of procedures and algorithms. In this paper, a proof of concept implementation of a cloud-based network planning work pattern using Amazon Web Services is presented. It extracts configuration and performance data from the network, enabling to accurately estimate cells coverage, identify neighbouring cells and optimally plan Scrambling Codes (SC) in an UMTS network. It was integrated in a SaaS monitoring and planning tool. The system operation is demonstrated for a small canonical scenario. For a realistic scenario with 12 484 unplanned cells, the planning of SCs is efficiently achieved, taking less than 8 seconds, and guaranteeing no collisions between first order neighbouring cells.