Bézier Curves Based Novel Calibration Technique of Beamformers in IEEE 802.11 WLAN Networks

Mehdi Guessous, L. Zenkouar
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Abstract

IEEE 802.11 WLAN networks face challenges for end- to-end service performance concerning new mobility applications: real-time interactive communications, analytics and business intelligence. In dense indoor deployments, co-channel interference is a major issue. One of Radio Resource Management (RRM) techniques that is used to tackle this issue and maximize transmit opportunity is beamforming. From a signal processing perspective, the related-work concentrates on array elements' signal weighting and phase shifting to achieve the desired angle of radiation, direction of arrival and gain. This work presents a novel beamformer's calibration technique that enhances related-work results in the context of indoor WLAN network with a considerably lessened processing time and an augmented transmission quality. Our solution model approach is based on concepts from Computed Aided Graphical Design (CAGD) especially Bézier curves, and takes advantage of now-a-day WLAN networks design and deployment characteristics.
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基于bsamziier曲线的IEEE 802.11无线局域网波束形成器标定新技术
IEEE 802.11 WLAN网络面临着端到端服务性能的挑战,涉及新的移动应用:实时交互通信、分析和商业智能。在密集的室内部署中,同信道干扰是主要问题。用于解决此问题并最大化传输机会的无线电资源管理(RRM)技术之一是波束形成。从信号处理的角度来看,相关工作主要集中在阵列元件的信号加权和相移,以达到期望的辐射角、到达方向和增益。本工作提出了一种新的波束形成器校准技术,该技术在室内WLAN网络环境下提高了相关工作结果,大大缩短了处理时间,提高了传输质量。我们的解决方案模型方法基于计算机辅助图形设计(CAGD)的概念,特别是bsamzier曲线,并利用了当今WLAN网络的设计和部署特性。
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