Millimeter-Wave Channel Model Parameters for Various Office Environments

This paper developed a 60-GHz millimeter-wave cluster channel model for various office environments and investigated the impact of cluster characteristics on wireless data transmission. We conducted double-directional channel measurement campaigns in a university laboratory office environment to develop the channel model using a custom-developed channel sounder with an angular resolution of 6° and a delay resolution of
$\mathrm {2.5~ns}$
at
$\mathrm {58.32~GHz}$
for the measurements. The super-resolution multipath parameter estimation algorithm extracts multipath components from the measured data with a delay resolution of
$\mathrm {0.1~ns}$
and an azimuth resolution of 0.1°, and the
$K$
-PowerMeans algorithm identified multipath clusters. Based on the conventional 3rd Generation Partnership Project (3GPP) model, a scenario-categorized site-general model, we attempted to develop a highly accurate cluster model that can more accurately reproduce small-scale fading fluctuations in site-specific environments. The large- and small-scale parameters obtained from the measured data were extracted and compared with the 3GPP map-based hybrid channel model, a quasi-deterministic channel model. The results revealed strong site dependency in the inter-cluster and intra-cluster properties. Moreover, we assessed the impact of different channel parameters on system evaluation using single-user and multi-user multiple-input- multiple-output channel capacities.