Nonlinear Channel Estimation for Internet of Vehicles

Abstract In order to reduce the power consumption, Internet of Vehicles (IoV) system mostly adopts modulation method a single parameter such as phase. However, in scenarios that require transmitting large amount information, single-information cannot meet requirements high data rates. To address this problem, paper proposes scheme adding small number full-information channels containing both amplitude and phase information form nonlinear channel. The compressed sensing based algorithm is used estimate channel passed iteratively between obtain more accurate estimation. also studies influence mapping relationship channel, iterations on estimation accuracy. results simulations show proposed can increase transmission rate by 6 times at cost 2.5 consumption.