A Monte carlo simulator of non-WSSUS Rayleigh fading channels for vehicular communications Conference Paper uri icon

abstract

  • This paper presents a new simulator of non-wide-sense-stationary uncorrelated scattering (non-WSSUS) multipath Rayleigh fading channels for the performance analysis of vehicular communication systems. The proposed simulator is based on the Montecarlo method and the sum-of-cisoids principle. It provides an accurate and flexible solution to reproduce the time and frequency correlation properties of non-WSSUS vehicular channels under arbitrary isotropic and non-isotropic scattering conditions. A performance analysis of two channel estimation techniques, namely the least-squares (LS) and the spectral-temporal-averaging (STA) estimators, is presented to demonstrate the practical value of the proposed simulator. The results show that the vehicular channel%27s non-stationary characteristics are transparent to the LS estimator, but they significantly degrade the performance of the STA estimator. A variation of the original STA technique is introduced seeking a performance improvement in non-WSSUS channels. © 2018 IEEE.
  • This paper presents a new simulator of non-wide-sense-stationary uncorrelated scattering (non-WSSUS) multipath Rayleigh fading channels for the performance analysis of vehicular communication systems. The proposed simulator is based on the Montecarlo method and the sum-of-cisoids principle. It provides an accurate and flexible solution to reproduce the time and frequency correlation properties of non-WSSUS vehicular channels under arbitrary isotropic and non-isotropic scattering conditions. A performance analysis of two channel estimation techniques, namely the least-squares (LS) and the spectral-temporal-averaging (STA) estimators, is presented to demonstrate the practical value of the proposed simulator. The results show that the vehicular channel's non-stationary characteristics are transparent to the LS estimator, but they significantly degrade the performance of the STA estimator. A variation of the original STA technique is introduced seeking a performance improvement in non-WSSUS channels. © 2018 IEEE.

publication date

  • 2018-01-01