论文标题
使用随机几何形状在5G及以后的密集无线网络的性能
Performance of dense wireless networks in 5G and beyond using stochastic geometry
论文作者
论文摘要
预计在下一个将来，蜂窝网络中的设备密度将大大增加。因此，使用准直毫米波（MMW）和Sub-Thz通信将配备大量多输入多输出（MMIMO）天线，并增加带宽以适应增长的数据速率需求。在这种情况下，干扰起着至关重要的作用，如果未正确表征和缓解，可能会限制网络的性能。在这种情况下，本文得出了配备MMIMO圆柱阵列的蜂窝网络的汇总干扰能力的统计特性。提出的统计模型考虑了链接阻塞和其他网络参数，例如天线配置和设备密度。研究结果表明，聚合干扰能力的特征函数（CF）可以看作是两个α稳定分布的加权混合物。此外，通过分析服务概率，发现数组的最佳配置取决于AP高度和设备密度。拟议的统计模型可以是密集网络设计的一部分，为最佳网络部署提供了宝贵的见解
Device density in cellular networks is expected to increase considerably in the next future. Accordingly, the access point (AP) will equip massive multiple-input multiple-output (mMIMO) antennas, using collimated millimeter-wave (mmW) and sub-THz communications, and increase the bandwidth to accommodate the growing data rate demands. In this scenario, interference plays a critical role and, if not characterized and mitigated properly, might limit the performances of the network. In this context, this paper derives the statistical properties of the aggregated interference power for a cellular network equipping a mMIMO cylindrical array. The proposed statistical model considers the link blockage and other network parameters such as antenna configuration and device density. The findings show that the characteristic function (CF) of the aggregated interference power can be regarded as a weighted mixture of two alpha-stable distributions. Furthermore, by analyzing the service probability, it is found that there is an optimal configuration of the array depending on the AP height and device density. The proposed statistical model can be part of the design of dense networks providing valuable insights for optimal network deployment
