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Automated W-CDMA microcellular deployment and coverage reconfiguration based on situation awareness

机译:基于态势感知的自动W-CDMA微蜂窝部署和覆盖范围重新配置

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摘要

This paper examines the implementation of an automated W-CDMA microcellular deployment and coverage reconfiguration algorithm based on the concepts of situation awareness (SA). A deterministic microcellular propagation model (Citrus) is used to provide the detailed site-specific propagation data. An initial network deployment is performed over one square kilometre of central Bristol using the combination algorithm for total optimisation (CAT). Buildings are then added or removed from the microcell to represent realistic time variations in the geographic environment. A new situation awareness (SA) algorithm is developed and applied to the modified W-CDMA microcell to automatically reconfigure the network's coverage and capacity based on the new propagation environment. Optimisation of coverage and capacity is achieved through the use of a genetic algorithm (GA). This paper presents the details of the underlying SA algorithm and the results obtained for the above scenario. These new algorithms are shown to automatically sustain a high grade of service as the microcellular environment evolves over time. Gains of up 203% in spectral efficiency were observed for the 144 kbps service
机译:本文研究了基于态势感知(SA)概念的自动W-CDMA微蜂窝部署和覆盖重新配置算法的实现。确定性微细胞传播模型(Citrus)用于提供详细的特定于站点的传播数据。使用总体优化组合算法(CAT)在布里斯托尔中心一平方公里上进行初始网络部署。然后从微单元中添加或删除建筑物,以表示地理环境中的实际时间变化。开发了一种新的态势感知(SA)算法,并将其应用于经过修改的W-CDMA微蜂窝,以根据新的传播环境自动重新配置网络的覆盖范围和容量。通过使用遗传算法(GA)实现覆盖范围和容量的优化。本文介绍了底层SA算法的详细信息以及针对上述情况获得的结果。随着微蜂窝环境的发展,这些新算法被证明可以自动维持高质量的服务。对于144 kbps服务,频谱效率提高了203%

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