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基于随机几何理论的多天线密集异构网络性能分析与优化

赵东来 王钢 刘浩洋 贾少波

赵东来, 王钢, 刘浩洋, 贾少波. 基于随机几何理论的多天线密集异构网络性能分析与优化[J]. 电子与信息学报, 2022, 44(9): 2986-2993. doi: 10.11999/JEIT211365
引用本文: 赵东来, 王钢, 刘浩洋, 贾少波. 基于随机几何理论的多天线密集异构网络性能分析与优化[J]. 电子与信息学报, 2022, 44(9): 2986-2993. doi: 10.11999/JEIT211365
ZHAO Donglai, WANG Gang, LIU Haoyang, JIA Shaobo. Performance Analysis and Optimization of Multi-antenna Dense Heterogeneous Network Based on Stochastic Geometry Theory[J]. Journal of Electronics & Information Technology, 2022, 44(9): 2986-2993. doi: 10.11999/JEIT211365
Citation: ZHAO Donglai, WANG Gang, LIU Haoyang, JIA Shaobo. Performance Analysis and Optimization of Multi-antenna Dense Heterogeneous Network Based on Stochastic Geometry Theory[J]. Journal of Electronics & Information Technology, 2022, 44(9): 2986-2993. doi: 10.11999/JEIT211365

基于随机几何理论的多天线密集异构网络性能分析与优化

doi: 10.11999/JEIT211365
基金项目: 国家自然科学基金(62071146, 61671184)
详细信息
    作者简介:

    赵东来:男,博士生,研究方向为超密集组网技术

    王钢:男,博士,教授,研究方向为非正交多址技术、多天线技术、无线携能通信网络

    刘浩洋:男,博士生,研究方向为异构边缘计算与缓存

    贾少波:男,博士,讲师,研究方向为异构网络和物理层安全

    通讯作者:

    王钢 gwang51@hit.edu.cn

  • 中图分类号: TN929.5

Performance Analysis and Optimization of Multi-antenna Dense Heterogeneous Network Based on Stochastic Geometry Theory

Funds: The National Natural Science Foundation of China (62071146, 61671184)
  • 摘要: 无线网络的异构化、密集化部署极大地提高了系统容量,可满足用户日益增长的数据流量需求,但是复杂的网络结构、近乎随机的基站分布不利于系统的性能评估和参数设计。针对这一问题,该文提出一种适用于多天线密集异构网络的性能分析框架。首先,利用随机几何模型推导了覆盖率的闭合表达式并给出了优化方案。为了直观地观察关键系统参数对覆盖率的影响,还给出了一种渐近表达式。其次,推导了区域频谱效率(ASE)的积分表达式,为了减小计算复杂度,给出了一种ASE的上界。最后,还提出了一种有效的算法来设计最优的基站(BSs)部署密度,以在满足覆盖率需求的前提下最大化ASE。仿真结果验证了理论分析的正确性和所提优化算法的有效性。该文的研究成果不但可以为复杂网络的性能分析提供理论依据,还可为系统的优化与设计提供可行性方案。
  • 图  1  密集异构网络系统模型

    图  2  覆盖率对比分析

    图  3  基站密度对覆盖率的影响

    图  4  ASE精确值与上界

    图  5  最优激活态基站密度

    表  1  最优基站部署方案求解算法(算法1)

     输入:覆盖率需求$ \eta $
     输出:最优解$ {\lambda ^ * } $
     (1) if $ \eta \mathop {\max }\limits_{k \in \mathcal{K}} p_k^{\rm{c}} \left( \beta \right)$ then
     (2)   没有可行解
     (3) else
     (4)   $ {\lambda ^ * } \leftarrow {\lambda ^{\max }} $
     (5)   while ${\boldsymbol{c}}{\lambda ^ * } < 0$且$\mathcal{K} \ne \varnothing$ do
     (6)     $ i = \arg \mathop {\min }\limits_{i \in \mathcal{K}} \dfrac{{{c_i}}}{{{b_i}}} $
     (7)     $ \lambda _i^ * \leftarrow 0 $
     (8)     if ${\boldsymbol{c}}{\lambda ^ * } > 0$ then
     (9)       $\lambda _i^ * \leftarrow - \dfrac{ {{\boldsymbol{c}}{\lambda ^ * } } }{ { {c_i} } }$
     (10)     end if
     (11)     $ \mathcal{K}\leftarrow \mathcal{K}/\left\{i\right\} $
     (12)   end while
     (13) end if
    下载: 导出CSV
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  • 被引次数: 0
出版历程
  • 收稿日期:  2021-11-30
  • 修回日期:  2022-04-03
  • 网络出版日期:  2022-04-20
  • 刊出日期:  2022-09-19

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