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Channel Measurement and Packet-Level Modeling for V2I Spatial Multiplexing Uplinks Using Massive MIMO

机译:使用大规模MIMO的V2I空间复用上行链路的信道测量和分组级建模

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摘要

Massive multiple-input multiple-output (MIMO) is a key technology in fifth-generation (5G) networks. By using a large number of antenna elements placed in a 2-D array, an evolved Node B (eNB) can form multiple vertical beams in the elevation domain and adaptively track moving vehicles. Thus, the throughput and spatial multiplexing efficiency in vehicle-to-infrastructure (V2I) access can be significantly increased. However, multipath spatial propagation in wireless channels results in the angular spread of the power arrival profile, which causes intersector interference in massive-MIMO beamforming and becomes a limiting factor for the system capacity. In this paper, we investigate the channel propagation characteristics and the intervehicle interference in the elevation-domain spatial multiplexing for V2I mobile access and develop a packet-level channel model that can be used for system design and network protocol simulations. First, a measurement campaign for the urban macrocell street uplink channels was performed using a 3-D MIMO channel sounder, and the elevation power spectra (EPSs) on the eNB side were measured. Then, the intersector interference in the vertical beamforming is evaluated based on the antenna array pattern and channel EPS. Finally, a packet-level channel model in the form of a finite-state Markov chain (FSMC) is proposed for the V2I elevation multiplexing uplinks. The model describes the received signal-to-interference ratio (SIR) variation when a vehicle is moving toward an eNB. The steady-state distribution of the FSMC is analytically derived and verified by simulations. Based on the stochastic process of the SIR, the concepts of “large/small-scale multiplexing fading” are proposed. The field measurement results in this work have revealed the spatial power arrival profiles of the V2I street channels that are critical for the MIMO system design, and the proposed packet-level channel model provides an enabling tool for the analysis and simulation of the V2I elevation multiplexing links in the 5G networks.
机译:大规模多输入多输出(MIMO)是第五代(5G)网络中的一项关键技术。通过使用放置在二维阵列中的大量天线元件,演进的节点B(eNB)可以在仰角域中形成多个垂直波束,并自适应地跟踪移动的车辆。因此,可以显着提高车辆到基础设施(V2I)的访问量和空间复用效率。但是,无线信道中的多径空间传播会导致功率到达曲线的角展度,这会导致大规模MIMO波束成形中的扇区间干扰,并成为系统容量的限制因素。在本文中,我们研究了V2I移动访问的高程域空间复用中的信道传播特性和行间干扰,并开发了可用于系统设计和网络协议仿真的数据包级信道模型。首先,使用3-D MIMO信道探测仪对城市宏小区街道上行链路信道进行测量,然后测量eNB侧的海拔功率谱(EPS)。然后,基于天线阵列方向图和信道EPS评估垂直波束形成中的扇区间干扰。最后,针对V2I高程复用上行链路,提出了一种有限状态马尔可夫链(FSMC)形式的数据包级信道模型。该模型描述了当车辆向eNB移动时接收到的信号干扰比(SIR)变化。 FSMC的稳态分布是通过分析得出的,并通过仿真进行了验证。基于SIR的随机过程,提出了“大型/小型复用衰落”的概念。这项工作的现场测量结果揭示了V2I街道通道的空间功率到达剖面,这对于MIMO系统设计至关重要,所提出的分组级通道模型为V2I高度复用的分析和仿真提供了一个使能工具。 5G网络中的链接。

著录项

  • 来源
    《IEEE Transactions on Vehicular Technology》 |2016年第10期|7831-7843|共13页
  • 作者单位

    Department of Communications Engineering and the State-and-Provincial Joint Laboratory of Internet-of-Things Technologies and Applications, Northwestern Polytechnical University, Xi'an, China;

    Huawei Technologies, Ltd., Shanghai, China;

    Huawei Technologies, Ltd., Shanghai, China;

    Department of Communications Engineering and the State-and-Provincial Joint Laboratory of Internet-of-Things Technologies and Applications, Northwestern Polytechnical University, Xi'an, China;

    Department of Communications Engineering and the State-and-Provincial Joint Laboratory of Internet-of-Things Technologies and Applications, Northwestern Polytechnical University, Xi'an, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vehicles; MIMO; Interference; Multiplexing; Array signal processing; Channel models; Uplink;

    机译:车辆;MIMO;干扰;复用;阵列信号处理;信道模型;上行链路;

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