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The evaluation of geometry-based stochastic models for device-to-device channels

机译:设备到设备通道的基于几何的随机模型评估

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Device-to-device (D2D) communication is becoming a critical technology to improve the spectral efficiency in cellular communication systems. Although many upper-layer protocols have been designed for D2D communications, these work did not consider the specific characteristics of D2D channels, such as low antenna height and dual mobility, due to the lack of adequate D2D channel models. To promote research on these aspects, in this paper, different geometry-based stochastic models (GBSMs) are evaluated to facilitate channel-oriented D2D communication system design and optimization. Firstly, based on the specific characteristics of D2D channels, different GBSMs are introduced for D2D channels, their spatial correlation and Doppler properties are analyzed. Next, the space-time-frequency characteristics metrics including spatial cross-correlation function and Doppler power spectral density are used to evaluate the different channel models with different scenarios. Simulation results show that GBSMs can be easily modified to adapt different D2D communication scenarios, and the application of GBSMs have enormous relationship with D2D communication scenarios.
机译:设备到设备(D2D)通信正在成为提高蜂窝通信系统频谱效率的一项关键技术。尽管已经为D2D通信设计了许多上层协议,但是由于缺乏适当的D2D信道模型,这些工作并未考虑D2D信道的特定特征,例如低天线高度和双重移动性。为了促进对这些方面的研究,本文对不同的基于几何的随机模型(GBSM)进行了评估,以促进面向通道的D2D通信系统的设计和优化。首先,根据D2D信道的特点,针对D2D信道引入了不同的GBSM,分析了它们的空间相关性和多普勒性质。接下来,使用包括空间互相关函数和多普勒功率谱密度在内的时空频率特征度量来评估具有不同场景的不同信道模型。仿真结果表明,GBSM可以很容易地修改以适应不同的D2D通信场景,GBSM的应用与D2D通信场景有很大的关系。

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