Applied Mathematics and Nonlinear Sciences (Jan 2023)
Nonlinear channel estimation for Internet of Vehicles
Abstract
In order to reduce the power consumption, the Internet of Vehicles (IoV) system mostly adopts the modulation method of a single parameter such as phase. However, in scenarios that require transmitting a large amount of information, the single-information modulation method cannot meet the requirements of high data rates. To address this problem, the paper proposes a scheme of adding a small number of full-information channels containing both amplitude and phase information to form a nonlinear channel. The compressed sensing based algorithm is used to estimate the nonlinear channel. The information of channel is passed iteratively between the single-information channel and the full-information channel to obtain more accurate channel estimation. The paper also studies the influence of the mapping relationship between single-information channel and full-information channel, and the number of iterations on channel estimation accuracy. The results of the simulations show that the proposed scheme can increase the information transmission rate by 6 times at the cost of 2.5 times the power consumption.
Keywords