Link characteristics study of ultra-wideband radios

Comprehending the quality of links in diverse temporal and spatial environments is one of the critical steps in enhancing the performance of wireless applications. The increasing prevalence of ultra-wideband (UWB) radios in Internet of Things (IoT) applications for their precise ranging and localization capabilities, emphasizes the need to investigate the link quality (LQ) of UWB radios across different radio configurations, temporal settings, and spatial conditions. While previous observations studied the impact of these factors on LQ and its effect on communication, their practical applicability was limited and primarily focused on ranging and localization. Our first work in this study enhances the performance of previous adaptive-PHY layer algorithms by exploring and using intermediate radio configurations to enhance LQ. Additionally, we explore other LQ factors, previously studied in different wireless radios, in the context of UWB networks. The insights obtained from this study hold the potential to enhance the overall performance and efficiency of UWB applications.