End-to-End Channel Modeling and Generation Software Based on Statistical mmWave Channel Model

Abstract

Millimeter wave (mmWave) multi-path channel models based on a Saleh-Valenzuela (SV) model are fundamental for simple link-level simulations in mmWave communication systems. However, parameter extractions of the model incur developer-dependent and sometimes manual procedures, which hinders from not only confirming the validity of the existing parameters but also correcting cumulative knowledge about parameters for versatile environments. This study develops an end-to-end software to automatically perform channel modeling and simulation with statistical validity just by inputting measured power profiles. The developed software involves comprehensive algorithms to reach channel parameter extraction, such as multi-path component (MPC) extraction, MPC clustering, and maximum-likelihood estimations for respective parameters; thereby serving as a tutorial to reach the objective. Based on the developed software, we highlight that channel parameters reported by the IEEE 802.15.3c task group (TG) do not necessarily fit the original power profiles, highlighting the need to examine the validity of the existing parameters by leveraging the developed software. Moreover, we propose improved parameters for residential environments, which are reported in the TG, and demonstrate the feasibility of the developed software generating more resemble channel characteristics to the measured channel response relative to the reported parameters by the IEEE 802.15.3c TG.

Keywords

• Channel modeling
• millimeter-wave
• multipath fading
• parameter estimation
• SV model