论文标题
毫米波传播的移动性支持:机遇和挑战
Mobility Support for Millimeter Wave Communications: Opportunities and Challenges
论文作者
论文摘要
毫米波(MMWAVE)通信技术为在动态场景和应用程序中提供支持5G和B5G无线网络提供了潜在的有希望的解决方案。但是,移动性引入了许多挑战以及MMWave应用程序的机会。为了解决这些问题,我们对支持移动方案中MMWave通信的机会和技术进行了调查。首先,我们总结了MMWave通信的利用的移动场景,包括室内无线局域网(WLAN)或无线个人区域网络(WPAN),蜂窝访问,车辆到每次通道(V2X),高速火车(HST),无人驾驶航空车辆(无人驾驶汽车)(无用的太空航空沟通场景)以及新的Spee-Sea Communications。然后,为了解决用户对系统性能在不同应用方案中的系统性能的影响,我们在MMWave系统中介绍了几种代表性的移动性模型,包括人类移动性,车辆移动性,高速火车移动性和船舶移动性。接下来,我们调查了MMWave应用程序的主要挑战和现有解决方案,例如渠道建模,渠道估计,防块和能力提高。最后,我们讨论有关移动感知的MMWave通信的开放问题,这些问题值得进一步调查。特别是,我们重点介绍了未来的异质移动网络,动态资源管理,人工智能(AI),用于移动性和整合地理信息,部署大型智能表面和可重新配置的天线技术,最后是Terahertz(THZ)通信的演变。
Millimeter-wave (mmWave) communication technology offers a potential and promising solution to support 5G and B5G wireless networks in dynamic scenarios and applications. However, mobility introduces many challenges as well as opportunities to mmWave applications. To address these problems, we conduct a survey of the opportunities and technologies to support mmWave communications in mobile scenarios. Firstly, we summarize the mobile scenarios where mmWave communications are exploited, including indoor wireless local area network (WLAN) or wireless personal area network (WPAN), cellular access, vehicle-to-everything (V2X), high speed train (HST), unmanned aerial vehicle (UAV), and the new space-air-ground-sea communication scenarios. Then, to address users' mobility impact on the system performance in different application scenarios, we introduce several representative mobility models in mmWave systems, including human mobility, vehicular mobility, high speed train mobility and ship mobility. Next we survey the key challenges and existing solutions to mmWave applications, such as channel modeling, channel estimation, anti-blockage, and capacity improvement. Lastly, we discuss the open issues concerning mobility-aware mmWave communications that deserve further investigation. In particular, we highlight future heterogeneous mobile networks, dynamic resource management, artificial intelligence (AI) for mobility and integration of geographical information, deployment of large intelligent surface and reconfigurable antenna technology, and finally, the evolution to Terahertz (THz) communications.