一种卫星物联网上行干扰分析高效计算方法
An efficient calculation method for satellite IoT uplink interference analysis
陆远松 1李伟 2魏文康 2刘子威 1张更新1
作者信息
- 1. 南京邮电大学 卫星通信研究所,江苏 南京 210003
- 2. 国家无线电监测中心,北京 100037
- 折叠
摘要
低轨卫星物联网(IoT)作为空间信息网络的重要组成部分,由于其星座规模激增,卫星平台动态性强,终端数量多,在与其他通信系统进行干扰分析及协调时,存在干扰计算复杂度较高的问题.实际中,物联网终端的分布与地理和人口高度相关,但由于单颗卫星覆盖面积大,面临多种密度和部署终端,采用静态遍历计算的方式将带来运算量爆炸.本文从同频干扰产生的机理出发,以区域化发射场强作为密集物联网终端上行集总干扰的建模核心,并引入泊松点过程(PPP)分布模型对地面终端进行等效建模,使区域化的上行集总干扰仅与分布参数及发射参数有关,而与终端确切位置、数量均无关.仿真结果表明,本文方法与传统链路分析结果相比误差较小,对不同数量终端的拟合性能均较好,并能有效降低长时分析的计算复杂度,能够用于高效干扰分析与计算.
Abstract
As an important part of space information network,low-orbit satellite Internet of Things(IoT)has the problem of high complexity of interference calculation in interference analysis and coordination with other communication systems due to its proliferation of constellation size,dynamic satellite platform and large number of terminals.In addition,the distribution of IoT terminals in practice is highly correlated with geography and population,but due to the large coverage area of a single satellite,it will face multiple densities and deployments of terminals,and the use of static traversal calculations will bring an explosion of computing power.Starting from the mechanism of co-channel interference generation,the regionalized transmit field strength is used as the core of modeling the uplink aggregate interference of dense IoT terminals,and the Poisson Point Process(PPP)distribution model is introduced to equivalently model the ground terminals,so that the regionalized uplink aggregate interference is only related to the distribution parameters and transmit parameters,but not to the exact location and number of terminals.The simulation results show that the proposed method has less error compared with traditional link analysis,and has better fitting performance for different number of terminals.It can effectively reduce the computational complexity in long-time analysis,and can be used for interference analysis and calculation with high efficiency.
关键词
低轨卫星物联网/泊松点分布/场叠加/干扰分析Key words
low-orbiting satellite IoT/Poisson point distribution/field superposition/interference analysis引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据