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Point-to-multipoint holographic beamsteering techniques for indoor optical wireless communications

机译:室内光无线通信的点对多点全息波束控制技术

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摘要

Fibre-to-the-home deployment is enabling ultra-high speed communications to reach the end-user in many cities. Most users would like to access this capacity using wireless devices. However, available wireless technologies can handle data rates often many orders of magnitude slower than those potentially offered by the fibre infrastructure. This paper describes an optical wireless architecture that bridges this gap by using the light directly from the fibre to create an indoor point-to-multipoint transparent distribution system. The approach is all optical, thus inherently independent of the data-rate and modulation formats. A holographic beamsteering device is used to direct narrow 1550 nm beams to the receivers' locations. Specifically, a spatial light modulator (SLM), assisted by angle magnification optics allowed for a ±30° field-of-view coverage in both the horizontal and vertical directions. In this work we experimentally study two different methods to generate the point-to-multipoint capability: spatial division of the SLM in independent phase-programmable regions and the Gerchberg-Saxton (GS) multipoint hologram generation algorithm. These methods were compared for a 2-beam beamsteering system at a range of ~ 2 meters. Results show that the spatial division approach creates more stable links with higher optical margins. However, the GS-based steering offers a more scalable solution for a point-to-multipoint architecture that addresses a large number of end-users.
机译:光纤到户的部署使超高速通信可以到达许多城市的最终用户。大多数用户想使用无线设备来访问此容量。但是,可用的无线技术可以处理的数据速率通常比光纤基础结构可能提供的数据速率慢许多个数量级。本文介绍了一种光学无线体系结构,该体系结构通过直接使用来自光纤的光来建立室内点对多点透明分配系统,从而弥合了这种差距。该方法是全光学的,因此固有地独立于数据速率和调制格式。全息光束转向设备用于将1550 nm窄光束定向到接收器的位置。具体而言,在角度放大光学器件的辅助下,空间光调制器(SLM)可以在水平和垂直方向上实现±30°的视野覆盖。在这项工作中,我们通过实验研究了两种不同的生成点对多点功能的方法:SLM在独立的相位可编程区域中的空间划分以及Gerchberg-Saxton(GS)多点全息图生成算法。比较了这些方法在2米范围内的2光束波束转向系统中的作用。结果表明,空间划分方法可创建具有更高光学裕度的更稳定链接。但是,基于GS的导向为点对多点体系结构提供了更具可扩展性的解决方案,可满足大量最终用户的需求。

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