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基于模糊层次分析的小小区性能评估
引用本文:谭维锴,郭爱煌,钱业青. 基于模糊层次分析的小小区性能评估[J]. 系统工程与电子技术, 2014, 36(8): 1651-1655. DOI: 10.3969/j.issn.1001-506X.2014.08.32
作者姓名:谭维锴  郭爱煌  钱业青
作者单位:同济大学电子与信息工程学院, 上海 201804
摘    要:小小区的引入大幅提高了蜂窝网络的覆盖和容量,同时也带来了更复杂的无线环境。提出了一种基于改进的模糊层次分析(fuzzy analytic hierarchy process, FAHP)的小小区性能评估方法;建立了小小区层次结构模型;分析了影响小小区性能的影响因素,并结合模糊数学原理提出相应的指标测量及量化方法;改进了模糊层次分析法的权重计算方法,在此基础上得出各小小区方案性能评估结果。仿真结果表明,提出的方法能在不同的小小区配置方案中选择出最优方案,为小小区的设计与部署提供参考。


Performance evaluation method for small cells based on FAHP
TAN Wei-kai,GUO Ai-huang,QIAN Ye-qing. Performance evaluation method for small cells based on FAHP[J]. System Engineering and Electronics, 2014, 36(8): 1651-1655. DOI: 10.3969/j.issn.1001-506X.2014.08.32
Authors:TAN Wei-kai  GUO Ai-huang  QIAN Ye-qing
Affiliation:School of Electronics & Information Engineering, Tongji University, Shanghai 201804, China
Abstract:The introduction of small cells not only brings a substantial increase of network coverage and capacity, but also results in a more complex wireless environment. A small cell performance evaluation method based on improved fuzzy analytic hierarchy process (FAHP) is proposed. A hierarchical model of small cells is established. Factors which impact the performance of the small cell are analyzed. Measuring and quantitative methods of indicators in small cells are presented combined with the fuzzy mathematical theory. The weighting approach of each indicator based on FAHP is improved to get the performance evaluation results of each small cell scheme. Simulation results show that the proposed method can select the optimum one from some different small cell configuration programs, providing a good reference for the deployment of small cells.
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