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- W4315693054 abstract "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." @default.
- W4315693054 created "2023-01-12" @default.
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- W4315693054 date "2022-11-10" @default.
- W4315693054 modified "2023-10-12" @default.
- W4315693054 title "Nonlinear channel estimation for Internet of Vehicles" @default.
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- W4315693054 doi "https://doi.org/10.2478/amns.2021.2.00304" @default.
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