Spatial correlation modeling and ergodic capacity analysis of networks with overlapping conflict
Spatial correlation modeling and ergodic capacity analysis of networks with overlapping conflict
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DOI：
10.1002/ett.4244
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发表时间：
2021-03
影响因子：
3.6
通讯作者：
Yuqing Chen;Junpeng Yu;Hongtao Zhang
中科院分区：
文献类型：
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作者：
Yuqing Chen;Junpeng Yu;Hongtao Zhang
第五代（5G）网络发展趋势（如更多的小区、更大更分布式的天线阵列、更高的频谱）和新技术共同推动着超越5G （B5G）甚至第六代（6G）的研究。在现有的工作中，由于不同传输点组之间的重叠冲突导致传输点调度存在空间相关性，因此基于典型用户进行性能分析，而没有典型用户。本文利用随机几何方法，推导了区域频谱效率（ASE）的半封闭表达式，分析了整个网络的遍历容量，并提出了类似mat<s:1>的模型来捕捉重叠冲突的空间相关性。具体来说，由于matsamrrn - like模型要求在同一TPG内只有一个信道条件最佳的TP在服务，从而降低了TP的服务概率，避免了在重重叠区域发生强烈的重叠冲突。此外，考虑到tp的不同服务概率，用户性能是非独立的，因此，通过遍历非独立的用户性能，ASE可以更准确地表征用户性能的整体水平。仿真和分析结果表明，考虑空间相关性的ASE可以更准确地拟合具有重叠冲突的网络的整体性能。
The fifth generation (5G) network development trends (e.g., more cells, larger and distributed antenna arrays, higher frequency spectrum) and new technologies are driving beyond 5G (B5G) and even sixth generation (6G) research together. In existing works, performance analysis is based on typical users, but no user is typical, because of spatial correlation in the scheduling of transmission points (TPs) caused by overlapping conflict between the different transmission point groups (TPGs). Using stochastic geometry, this article analyzes ergodic capacity of entire network by deriving the semiclosed form expression of area spectral efficiency (ASE), where Matérn‐like model is proposed to capture the spatial correlation of overlapping conflict. Specifically, the serving probability of TP is lower to avoid intense overlapping conflict in heavily overlapping region, thanks to Matérn‐like model requires that only one TP with best channel condition be in serving within the same TPG. In addition, considering different serving probabilities of TPs, user performance is nonindependent, thus ASE could more accurately characterize the overall level of user performance by traversing nonindependent user performance. Simulation and analytical results show that ASE considering spatial correlation can more accurately fit the overall performance of networks with overlapping conflict.