Measurements and analysis of vehicular radio channels in the inland lake bridge area

Abstract

Vehicular communication plays a vital role in intelligent transportation systems and smart cities. The huge data transmission and high mobility require a high‐speed and stable wireless channel as a basis. This study presents a 5.9 GHz vehicle‐to‐vehicle (V2V) measurement, covering a complete inland lake bridge communication environment. Analysis of the channel characteristics is carried out according to three main propagation scenarios: ramp merging, a rear vehicle overtaking the front vehicle, and an urban scenario. Channel characteristics including the power delay profile, Doppler spectral density, amplitude distribution, and fading depth (FD) is extracted and analysed. An FD of ∼2.5 dB is determined in V2V communication. Furthermore, it is observed that, in addition to the impact from the ramp structure, metallic traffic signs, road lights, pedestrian bridges, and large trucks can also make significant contributions to vehicular communication. Moreover, a triple Gaussian mixture distribution is proposed to model the channel characterisation. The results demonstrate that the specific structure of the ramp will influence the channel performance more significantly than the general traffic road structure, which can provide a meaningful reference for the future research of V2V radio channels and is useful for the design and layout of vehicular communication systems.

Maritime Broadband Communication: Wireless Channel Measurement and Characteristic Analysis for Offshore Waters

“…It is saved as the format of the time-variant channel transfer functions (CTF) H( f , t). According to the principle of the channel sounder [21,22], the format of the measurement data can be expressed as a matrix of m × n, where m = 1933 is the total number of chirp signals per second, denoting the time index and n = 2560 is the number of samples in each chirp, representing the delay index. We can then obtain the discretized channel impulse response (CIR) h(t, τ) by computing the inverse discrete Fourier transform (IDFT) of CTF with respect to the Doppler frequency.…”

Research on non-stationary characteristics under large-scale multi-antenna vehicle occlusion conditions

“…According to the characteristics of large-scale multi-antenna channels, different research teams have selected different wideband multi-antenna channel measurement methods to carry out related research, and analyzed the channel characteristics based on the measurement results. In the literature [1], large-scale multi-antenna channel measurement work was carried out in outdoor campus scenes. A virtual linear array of 128 antennas was used at the transmitting end, and the center carrier frequency was set to 2.6GHz and the bandwidth was set to 50MHz.…”