Nonlinear channel estimation for Internet of Vehicles
- Autores: Lv Zhiguo, Qi Meng, Shao Hongxiang
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 2595-2604
- Idioma: inglés
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Resumen
In order to reduce the power consumption, the Internet of Vehicles (IoV) system mostly adopts the modulation methodof a single parameter such as phase. However, in scenarios that require transmitting a large amount of information, thesingle-information modulation method cannot meet the requirements of high data rates. To address this problem, the paperproposes a scheme of adding a small number of full-information channels containing both amplitude and phase informationto form a nonlinear channel. The compressed sensing based algorithm is used to estimate the nonlinear channel. Theinformation of channel is passed iteratively between the single-information channel and the full-information channel toobtain 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 resultsof the simulations show that the proposed scheme can increase the information transmission rate by 6 times at the cost of2.5 times the power consumption.
