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三维角度域网络干扰的空间选择特性
引用本文:杜得荣,曾孝平,简鑫,杨凡,陈礼.三维角度域网络干扰的空间选择特性[J].西安电子科技大学学报,2018,45(5):157-162.
作者姓名:杜得荣  曾孝平  简鑫  杨凡  陈礼
作者单位:(1. 重庆大学 通信工程学院,重庆 400044;2. 重庆金美通信有限责任公司,重庆 400044)
基金项目:国家自然科学基金资助项目(91438104, 61501065, 61571069);中央高校基本科研业务费专项资金资助项目(106112016CDJXY160001,106112017CDJQJ168817);重庆市基础科学与前沿技术研究专项一般资助项目(CSTC2016JCYJA0021)
摘    要:针对包含大规模空间分离节点的无线通信网络,为研究其干扰的空间选择特性,提出一个三维高斯干扰空间分布模型,并给出相应的干扰功率角度谱密度函数.基于干扰功率角度谱密度函数和三维成型因子理论,推导出了三维非规范复球谐系数、成型因子、衰落率方差、空间相关函数和相关距离等关键干扰空间统计特性的闭合表达式.仿真结果表明,三维空间角度对干扰功率角度谱密度函数和关键空间统计特性具有重要影响,其中15°俯仰角可作为三维智能天线和波束赋形的合适指向.

关 键 词:无线网络  干扰分析  空间分布  
收稿时间:2017-12-14

Spatial selectivity of network interference in the three-dimensional angular domain
DU Derong,ZENG Xiaoping,JIAN Xin,YANG Fan,CHEN Li.Spatial selectivity of network interference in the three-dimensional angular domain[J].Journal of Xidian University,2018,45(5):157-162.
Authors:DU Derong  ZENG Xiaoping  JIAN Xin  YANG Fan  CHEN Li
Affiliation:(1. College of Communication Engineering, Chongqing Univ., Chongqing 400044, China; 2. Chongqing Jinmei Communication Co. Ltd, Chongqing 400044, China)
Abstract:A three-dimensional (3-D) Gaussian interference distribution model and the corresponding interference angular power density (IAPD) are proposed to investigate the spatial selectivity of network interference in the angular domain for the large-scale wireless communication networks comprising many spatially scattered nodes. Then, based on the IAPD and the theory of 3-D shape factors, the closed-form expressions for some important spatial statistics, such as the 3-D unnormalized complex spherical harmonic coefficients, interference shape factors, fading rate variance, spatial correlation, and coherence distance are derived. Simulation results show that the 3-D spatial angular directions have a significant effect on the IAPD and these spatial statistics, and the 15° elevation angle is the proper pointing direction for 3-D smart antennas and adaptive beamforming design.
Keywords:wireless networks  interference analysis  spatial distribution  
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