Efficient TV white space database construction via spectrum sensing and spatial inference

Abstract

This paper presents an efficient method to construct white space database for devices to communicate in TV white space (TVWS). The goal is to build a TVWS database which senses the spectrum signal strength from white space devices (WSDs). Considering the incompleteness of measurement data, we formulate the problem of spatial inference as a matrix completion problem and propose a data recovery method by combining a fixed point continuation algorithm (FPCA) with a popular k-nearest neighbor (KNN) algorithm. Simulation results show that the proposed approach has a better performance in the TVWS database recovery than the traditional FPCA.