| 基于随机几何理论的多层异构网络的中断概率分析 |
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| 引用本文： | 李海萍,李莉,叶鹏,王斌.基于随机几何理论的多层异构网络的中断概率分析[J].上海师范大学学报(自然科学版),2018,47(2):139-144. |
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| 作者姓名： | 李海萍 李莉 叶鹏 王斌 |
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| 作者单位： | 上海师范大学信息与机电工程学院 |
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| 基金项目： | 国家自然科学基金（61503251） |
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| 摘 要： | 针对包括由宏基站(MBS)、微微蜂窝基站(PBS)和毫微微蜂窝基站(FBS)覆盖服务的三层异构蜂窝网络进行研究,通过仿真实验分析了影响用户通信中断概率的因素.结果表明:PBS和FBS的发射功率选取适当值时,可以有效地降低中断概率.当第一层网络的信干比(SIR)门限值在0~12 d B范围内变化,第二层网络的SIR门限值小于第三层网络时,可以有效降低中断概率,最高可以降低10%.
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| 关 键 词： | 异构网络 超密集网络 随机几何 中断概率 |
| 收稿时间： | 2017/12/9 0:00:00 |
Outage probability analysis of multi-layer heterogeneous network based on stochastic geometry theory |
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| Li Haiping,Li Li,Ye Peng and Wang Bin.Outage probability analysis of multi-layer heterogeneous network based on stochastic geometry theory[J].Journal of Shanghai Normal University(Natural Sciences),2018,47(2):139-144. |
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| Authors: | Li Haiping Li Li Ye Peng and Wang Bin |
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| Institution: | The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China and The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China |
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| Abstract: | In this paper,a three-layer heterogeneous cellular network including macro base station(MBS),picocell base station(PBS) and femtocell base station(FBS) coverageservice was studied.The factors affecting the probability of user communication outage were analyzed through simulation experiments.The results showed that the outage probability can be reduced at a proper value of transmit power of PBS and FBS.When the signal to interference ratio (SIR) threshold of layer 1 network varied from 0 to 12 dB,and the SIR threshold of layer 2 network was less than the SIR threshold of layer 3 network,the probability of outage could be reduced effectively,up to 10% lower at most. |
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| Keywords: | heterogeneous network superdense network stochastic geometry outage probability |
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