A Semi-Deterministic MIMO-based Beam Channel Model of Ray-Tracing and Propagation-Graph for mmWave Communications

2022 IEEE International Conference on Communications Workshops (ICC Workshops)(2022)

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摘要
Millimeter-wave (mmWave) communication together with beamforming technology is envisioned as key technologies to offer greater bandwidths than previously available. In this paper, we propose a novel semi-deterministic multiple-input multiple-output (MIMO)-based beam channel model for mm Wave communications. First, the transceiver's MIMO-based beams filter out scatterers located outside the beam intersection and the cluster-nuclei is generated. On this basis, the ray tracing (RT) together with propagation-graph (PG) methods are utilized to emulate the reflection and scattering components of the channel transfer function (CTF) for each cluster-nuclei, respectively. Meanwhile, scattering is considered at the last bounce of each reflection path in the macro-cell downlink scenario regarding the asymmetrical obstacles distributions. Besides, the directive scattering model is used to enhance the modeling accuracy for PG. We emulate a macro-cell street scenario and provide related characterization results. Simulation results reveal that our proposal can capture the channel non-stationarities at a low computational cost while guaranteeing relatively high accuracy.
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关键词
Millimeter-wave communications,semi-deterministic channel model,beamforming,propagation-graph,channel characterization
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