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A detailed introduction of different beamforming techniques used in 5G

机译：使用5G中使用的不同波束形成技术的详细介绍

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The arrival of high-speed internet facility such as the mmWave system or more commonly known as 5G wireless network is a prime impetus that is expected to be the driver for radical transformation in current communication methods. Apart from the numerous applications, an area where 5G is expected to be a game-changer is the vehicle-to-everything or V2X network. This technology uses a road side unit (RSU) which provides wireless connectivity to vehicles, pedestrians, and so on, which may be either stationary or mobile so that their exact location can be known in real time. Researchers have demonstrated experimentally that 4G connectivity with such RSUs can provide a reliable low latency network for certain applications. For instance, for near-perfect localization of each connected objects on the map, there is a need to stream GPS data, process semantic information from videos continually using computer vision. While these are simply for locating vehicles in real time so that road accident can be prevented. They are also the host of other features such as entertainment, health monitors, and mobile office that can be integrated inside a moving vehicle. To address the issues massive multi-input multi-output (MIMO), communication can be realized by using hybrid transceivers which uses a setup consisting of high-dimensional analog phase shifters and power amplifier with dimensional digital signal processing units having low power. It is therefore vital to choose an apt beamforming design that will run on low energy. A comparison of different varieties of beamforming methodologies for determining the most efficient massive MIMO network is carried out here.
机译：高速互联网设施的到来，如MMWAVE系统或更常见的5G无线网络是一种主要推动力，其预期是当前通信方法中的激进变换的驱动器。除了众多应用中，一个5G预计将成为游戏更换器的区域是车辆到一切或V2X网络。该技术使用路边单元（RSU），该路线单元（RSU）提供与车辆，行人等的无线连接，这可能是静止的或移动的，使得它们的确切位置可以实时已知。研究人员已经通过实验证明，4G与这种RSU的连接可以为某些应用提供可靠的低延迟网络。例如，对于地图上每个连接对象的近乎完美的本地化，需要使用计算机视觉将GPS数据传输GPS数据，从视频中处理语义信息。虽然这些只是用于实时定位车辆，以便可以防止道路事故。它们也是其他功能的主机，如娱乐，健康监视器和移动办公室，可以集成在移动车辆内部。为了解决大规模多输入多输出（MIMO）的问题，可以使用混合收发器来实现通信，该混合收发器可以使用由具有低功率的尺寸数字信号处理单元组成的具有由高维模拟相移器和功率放大器组成的设置。因此，选择一个高能量的APT波束形成设计至关重要。在此进行用于确定最有效的大量MIMO网络的边框形成方法的不同品种的比较。

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