BeamSense adopts a novel multi-path estimation algorithm that can efficiently and accurately map bidirectional CBR to a multi-path channel based on intrinsic fingerprints. We implement BeamSense on several prevalent models of Wi-Fi devices and evaluated its performance with microbenchmarks and three representative Wi-Fi sensing applications.
NB-Scope – the first hardware NB-IoT diagnostic tool that supports fine-grained fusion of power and protocol traces. We then conduct a large-scale field measurement study consisting of 30 nodes deployed at over 1,200 locations in 3 regions during a period of three months.
LEAD, a new cross-layer solution to improve the performance of existing channel decoders. While the traditional wisdom of cross-layer design is to exploit physical layer information at upper-layers, LEAD represents a paradigm shift in that it leverages upper-layer protocol signatures to improve the performance of physical layer channel decoding. The approach of LEAD is motivated by two key insights.