Low Complexity Channel Model for Mobility Investigations in 5G Networks

TL;DR

This paper introduces a simplified 5G channel model that efficiently captures spatial and temporal characteristics for mobility studies, balancing accuracy and computational feasibility in beamformed millimeter-wave networks.

Contribution

A new simplified channel model for 5G mobility investigations that incorporates coherence time, path diversity, and beamforming gain effects, enabling faster simulations.

Findings

Model achieves comparable mobility results to complex models.

Multi-path beamforming gain increases system interference.

Simplified model reduces simulation time significantly.

Abstract

Millimeter-wave has become an integral part of 5G networks to meet the ever-increasing demand for user data throughput. Employing higher carrier frequencies introduces new challenges for the propagation channel such as higher path loss and rapid signal degradations. On the other hand, higher frequencies allow deployment of small-sized antenna elements that enable beamforming. To investigate user mobility under these new propagation conditions, a proper model is needed that captures spatial and temporal characteristics of the channel in beamformed networks. Current channel models that have been developed for 5G networks are computationally inefficient and lead to infeasible simulation time for most user mobility simulations. In this paper, we present a simplified channel model that captures the spatial and temporal characteristics of the 5G propagation channel and runs in feasible simulation time. To this end, coherence time and path diversity originating from fully fledged Geometry based Stochastic Channel Model (GSCM) are analyzed and adopted in Jakes channel model. Furthermore, the deviation of multipath beamforming gain from single ray beamforming gain is analyzed and a regression curve is obtained to be used in the system-level simulations. We show through simulations that the proposed simplified channel model leads to mobility results comparable to Jakes model for high path diversity. Moreover, the multi-path beamforming gain increases the interference in the system and in turn number of mobility failures.