Cloud-based Cellular Network Planning System: Proof-of-Concept Implementation for GSM in AWS

André F. Godinho, Daniel F. S. Fernandes, Diogo J. A. Clemente, G. Soares, P. Sebastião, Paulo M. Pina, L. Ferreira
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引用次数: 4

Abstract

Frequency planning for radio network has always been a time consuming, low reward task. Although, it is a must for a quality network. This paper presents a new pattern to plan radio frequency in global system for mobile communications, using cloud-services to automatically configure, optimize and heal a network, with the advantage of this services making both the implementation and its execution faster, without the need to acquire specific hardware. Our implementation analyses the current state of the network and uses interference as a metric to plan and heal networks. We compare our pattern to a realistic scenario and an already implemented pattern.
基于云的蜂窝网络规划系统:在AWS中实现GSM的概念验证
无线网络的频率规划一直是一项耗时、低回报的工作。虽然,这是一个高质量网络的必要条件。本文提出了一种在全球移动通信系统中规划无线电频率的新模式,利用云服务自动配置、优化和修复网络,这种服务的优势使其实现和执行速度更快,而不需要获得特定的硬件。我们的实现分析网络的当前状态,并使用干扰作为规划和修复网络的度量。我们将我们的模式与现实场景和已经实现的模式进行比较。
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