Improved Time Cluster Stochastic Channel Model for mmWave Indoor Short-Range Communications

MmWave is currently attracting attention for its significant role in next-generation communication systems such as the fifth generation and sixth generation mobile networks. In this paper, we propose a novel temporal statistical channel model based on our recently conducted indoor short-range propagation measurements at the 60 GHz band. We constructed the channel model compatibly with the New York University channel simulator (NYUSIM) channel model framework which adopts the unique time cluster spatial lobe approach, which lacks both parameter definitions and suitable channel modeling and regeneration framework for indoor short-range communication applications. The channel regeneration simulations demonstrate that our proposed model exhibits good agreement with experimental data in almost all channel parameters, including the number of time clusters, cluster sub-path numbers, inter-cluster delay, and more. Additionally, the proposed model shows better alignment with experimental data in terms of the root mean squared delay spread, compared to existing models.