Jianzhi Li

TL;DR: This paper investigates the channel behaviors of massive MIMO at a mmWave frequency band around 26 GHz and makes the extensive ray-tracing simulations with 1024 antenna elements in the same indoor scenario, and gets insights into the variation tendency of mean delay and the RMS delay with different array elements.

TL;DR: A cluster-based three-dimensional (3D) channel model is proposed in this paper, which is based on the measurements conducted at 5.9 GHz in urban and suburban scenarios and found that both the azimuth spread and the elevation spread follow the lognormal distribution.

TL;DR: This paper presents a measurement campaign of indoor massive MIMO channels, by using a linear large-scale array with 64 elements, and the basic channel parameters are extracted, including path loss, delay spread, and coherence bandwidth.

TL;DR: A cluster-based channel model is proposed that incorporates both inter- and intra-cluster properties and the cluster evolution over the large-scale array and can be statistically modeled with the uniform distributions.

TL;DR: The model proposed in this paper shows good performance in scenario identification for intelligent vehicular communications, and the model configuration scheme is explored and presented which can make the proposed identification model achieves optimal performance.