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LTE室内外错频研究
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作者 索小新 张忖 《通讯世界》 2016年第10期7-8,共2页
在频率资源受限的前提下,为提升频率资源的利用效率,实现室分和宏站同频组网的最佳方案。本课题通过研究LTE宏站、微站干扰规避,采用室内外错频组网的方式,分别从用户感知、无线环境变化和网络间影响三个方面进行了验证,总结出了一套室... 在频率资源受限的前提下,为提升频率资源的利用效率,实现室分和宏站同频组网的最佳方案。本课题通过研究LTE宏站、微站干扰规避,采用室内外错频组网的方式,分别从用户感知、无线环境变化和网络间影响三个方面进行了验证,总结出了一套室内外错频组网的合理方式,为后期中国联通FDD-LTE同频网络建设的推广提供必要的支撑。 展开更多
关键词 FDD—LTE 错频 室分干扰 用户感知 网络间影响
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Spatial Differentiation Characteristics and Driving Forces of Forest Transition:A Case Study of Zunyi City,Guizhou 被引量:4
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作者 DONG Shunzhou ZHAO Yuluan LI Xiubin 《Journal of Resources and Ecology》 CSCD 2018年第4期341-351,共11页
Spatial differentiation in forest transition was measured in terms of space transition and function transition using the exploratory spatial data analysis method(ESDA) and data from 2004—2014 for Zunyi city,Guizhou... Spatial differentiation in forest transition was measured in terms of space transition and function transition using the exploratory spatial data analysis method(ESDA) and data from 2004—2014 for Zunyi city,Guizhou province,China.The validity of factors affecting forest transition was analyzed by constructing radial basis function neural networks(RBFNN) based on the data processing system(DPS).Our results will provide references for scientific understanding of the potential mechanism underlying forest transition in mountainous areas.We found that Global Moran's I of space transition and function transition of forest land was 0.0336 and 0.2323,respectively.This suggests a significant positive correlation in spatial distribution of space transition and function transition of forest land,and significant spatial aggregation.The Global Moran's I of function transition was higher than that of space transition,and the spatial aggregation characteristics of function transition were more significant than for space transition.The Global Moran's I at each time period tended to increase,and the spatial aggregation degree of the function transition and space transition was further enhanced.Hot and cold spots of space transition of forest land stably evolved,suggesting a minor spatial difference in forest land among different administrative units at the county level.The number of hot spots at the county level in function transition increased.Hot spots were intensively distributed at the western edge and continuously distributed in the northeast.The space transition and function transition of forest land were both greatly influenced by urbanization rate and second and third industries.The development of urbanization and industrialization was the main factor driving forest transition,suggesting a positive role of economic growth on forest transition in mountainous areas.The development of urbanization and industrialization is an effective approach to forest transition in mountainous areas. 展开更多
关键词 radial basis function neural networks forest transition spatial differentiation influence factors
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