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随着云计算、物联网、UAV通信技术的发展，面对海量通信需求，未来网络建设趋于异构密集化、无小区化、自组织化。以用户为中心分簇为每个用户定义一个基站(Base Station, BS)协作簇，在提升用户性能、降低干扰方面具有优势，是未来大规模连接、超低时延、超可靠通信的重要支撑技术。对基于随机几何分析以用户为中心分簇性能的现有工作进行总结整理，梳理了随机几何理论建模动态网络环境的核心要素：节点分布、无线信道、分簇方法，针对异构蜂窝网络、毫米波(millimeter-Wave, mmWave)、UAV辅助边缘计算以及无小区大规模多输入多输出(Cell-Free massive Multiple Input Multiple Output, CF-mMIMO)等多种通信场景，对概率类、容量类性能指标以及具体近似方法进行了总结。
Abstract：With the advancement of cloud computing, the internet of things, and UAV communication technologies, future network construction is trending towards heterogeneous densification, cell-free architecture, and self-organization to meet the massive communication demands. User-centric clustering, which defines a Base Station(BS) cooperation cluster for each user, continues to offer advantages in enhancing user performance and reducing interference, making it a crucial technology for future large-scale connectivity, ultra-low latency, and ultra-reliable communications. Existing researches on the performance of user-centric clustering using stochastic geometry analysis are summarized, the core elements of modeling dynamic network environments under stochastic geometry theory are specifically outlined, which include nodes distribution, wireless channel modeling, and clustering methods. Furthermore, performance metrics such as outage probability and communication capacity along with specific approximation methods are reviewed across various communication scenarios such as heterogeneous cellular networks, millimeter-Wave(mmWave), UAV-assisted mobile edge computing, and Cell-Free massive Multiple Input Multiple Output(CF-mMIMO).
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基本信息:
中图分类号:TN929.5
引用信息:
[1]姜逸,孙锴,黄威.以用户为中心分簇方法综述——随机几何视角[J].无线电工程,2025,55(08):1683-1694.
基金信息:
国家自然科学基金面上项目(62371264);国家自然科学基金地区基金项目(62161035); 内蒙古自治区高等学校创新团队发展项目(NMGIRT2503)~~
2025-06-20
2025-06-20
2025-06-20