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

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.