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Millimeter-wave has become an integral part of 5G networks to meet theever-increasing demand for user data throughput. Employing higher carrierfrequencies introduces new challenges for the propagation channel such ashigher path loss and rapid signal degradations. On the other hand, higherfrequencies allow deployment of small-sized antenna elements that enablebeamforming. To investigate user mobility under these new propagationconditions, a proper model is needed that captures spatial and temporalcharacteristics of the channel in beamformed networks. Current channel modelsthat have been developed for 5G networks are computationally inefficient andlead to infeasible simulation time for most user mobility simulations. In thispaper, we present a simplified channel model that captures the spatial andtemporal characteristics of the 5G propagation channel and runs in feasiblesimulation time. To this end, coherence time and path diversity originatingfrom fully fledged Geometry based Stochastic Channel Model (GSCM) are analyzedand adopted in Jakes channel model. Furthermore, the deviation of multipathbeamforming gain from single ray beamforming gain is analyzed and a regressioncurve is obtained to be used in the system-level simulations. We show throughsimulations that the proposed simplified channel model leads to mobilityresults comparable to Jakes model for high path diversity. Moreover, themulti-path beamforming gain increases the interference in the system and inturn number of mobility failures.

Low Complexity Channel Model for Mobility Investigations in 5G Networks