Abstract
In this paper, a 60-GHz millimeter-wave cluster channel model for various office environments was developed, and the impact of cluster characteristics on wireless data transmission was investigated. To develop the channel model, double-directional channel measurement campaigns were conducted in a university laboratory office environment. A custom-developed channel sounder with an angular resolution of 6° and a delay resolution of 2.5 ns at 58.32 GHz was used for the measurements. Using a super-resolution multipath parameter estimation algorithm, multipath components were extracted from the measured data with a delay resolution of 0.1 ns and an azimuth resolution of 0.1°, and clusters were identified using the <i>K</i>-PowerMeans algorithm. In this study, based on the conventional 3rd Generation Partnership Project (3GPP) model, which is a scenario-categorized site-general model, an attempt was made 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 those of the 3GPP map-based hybrid channel model, which is a quasi-deterministic channel model. The results revealed strong site dependency in the inter-cluster and intra-cluster properties. Moreover, the impact of different channel parameters on system evaluation was demonstrated using single-user and multi-user multiple-input–multiple-output channel capacities.
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