综合人体自阻塞和普通阻塞模型的室内毫米波D2D通信建模

Indoor millimeter-wave D2D communication modeling combining self-blockage and common blockage

毫米波(mmWave)技术的高传输速率特性可以满足室内场景下智能设备大数据量通信的需求。但在封闭室内区域,如何在保证高吞吐量的同时降低传输干扰仍是一个挑战。对于室内的数据传输,人体被认为是除常规的阻塞之外的最主要的阻塞物。因此,提出一种新型系统模型,将人体阻塞构建为自我阻塞模型,并采用多球LOS链路状态模型来描述普通链路阻塞,将两者结合以更加全面且精确地表达室内阻塞的分布。然后基于所提出的新型阻塞模型,利用随机几何理论得出覆盖率的闭式表达式,从而对系统性能进行分析。最后将分析结果与蒙特卡罗仿真做逼近,数值仿真结果表明,所提出的模型具有较高的精确度,能够较为准确地描述室内阻塞的分布。

The high transmission rate characteristic of millimeter wave(mm Wave) technology can meet the requirements of large amount of data communications among intelligent devices for indoor scenario. While guaranteeing high throughput, reducing the interference simultaneously in a closed region is still a challenge. For indoor transmission, the human bodies are considered as main blockages besides common blockages. Thus, a new system model is presented, constructing the human body into a self-blockage model, while using multi-ball LOS link state model to describe the conventional blockage. The combination of the two will give a more comprehensive and accurate expression of indoor obstruction. The proposed model uses stochastic geometry to analyze system performance by giving a closed expression of coverage and rate. The simulation results show that the model is accurate to describe the distribution of blockages via the comparison between analysis and Monte Carlo simulations.