A Novel Geometry-Based Stochastic Model for Indoor Scenarios Incorporating Dense Multipath Components Towards Standardization

Abstract

Wireless channel measurements in both indoor office and industrial Internet of things (IIoT) scenarios reveal the presence of not only specular multipath components (SMCs) but also dense multipath components (DMCs). However, existing standard channel models including the 3GPP TR 38.901 channel model lack the capability to characterize DMCs in these indoor scenarios. In this paper, an improved algorithm for estimating delay-angular parameters of DMC clusters is proposed for processing channel measurement data in indoor office and IIoT scenarios. Statistical properties of SMCs and measured DMCs are analyzed. Then, a novel time-domain non-stationary sixth generation (6G) standard channel model is proposed based on the extension of the 3GPP TR 38.901 channel model by including DMCs for indoor scenarios. In the proposed 6G model, DMCs are incorporated by sharing the same cluster centers with SMCs but exhibiting different intra-cluster parameters, e.g., larger numbers of rays and larger values of intra-cluster delay spread. To accurately describe the cluster birth-death process, a squared sine function is introduced to model power changes of SMCs and DMCs with different rates. Moreover, simulation results of the proposed model are compared with those of the 3GPP TR 38.901 channel model, 6G pervasive channel model, and measurement data. The proposed model shows the closest agreement with measurement results.