3D Cluster-Based Ray Tracing Technique for Massive MIMO Channel Modeling

In this paper, a novel 3 dimensional (3D) approach is proposed for precise modeling of massive multiple input multiple output (M-MIMO) channels in millimeter wave (mmW) frequencies. This model is based on both deterministic and statistic computations to extract characteristics of the propagation ch...

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Main Authors: M. M. Tamaddondar, N. Noori
Format: Article
Language:English
Published: Advanced Electromagnetics 2021-04-01
Series:Advanced Electromagnetics
Subjects:
5G
Online Access:https://aemjournal.org/index.php/AEM/article/view/1349
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spelling doaj-396874ba8f704311b64f3858baf9879e2021-04-12T12:26:38ZengAdvanced ElectromagneticsAdvanced Electromagnetics2119-02752021-04-0110110.7716/aem.v10i1.13493D Cluster-Based Ray Tracing Technique for Massive MIMO Channel ModelingM. M. Tamaddondar0N. Noori1Iran Telecommunication Research CenterIran Telecommunication Research Center In this paper, a novel 3 dimensional (3D) approach is proposed for precise modeling of massive multiple input multiple output (M-MIMO) channels in millimeter wave (mmW) frequencies. This model is based on both deterministic and statistic computations to extract characteristics of the propagation channel. In order to increase algorithm execution speed, the physical channel is divided into two regions. The first region refers to those parts of the channel which can be mapped with simple planes such as walls, ramps and etc. The second region is usually complex which is defined by considering the channel with physical clusters. These physical clusters yield multipath components (MPCs) with similar angles of arrival (AoA) and time delay. The ray-tracing algorithm is utilized to find ray paths from transmitter (Tx) to receiver (Rx). Some characteristics of MPCs in each cluster are defined according to some appropriate statistical distribution. The non-stationary property of M-MIMO along the antenna array axis is considered in the algorithm. Due to the correspondence between the propagation environment and scatters, the accuracy of the model is highly increased. To evaluate the proposed channel model, simulation results are compared with some measurements reported in the literature. https://aemjournal.org/index.php/AEM/article/view/1349Channel modelingClusteringMassive MIMOMillimeter waveRay tracing5G
collection DOAJ
language English
format Article
sources DOAJ
author M. M. Tamaddondar
N. Noori
spellingShingle M. M. Tamaddondar
N. Noori
3D Cluster-Based Ray Tracing Technique for Massive MIMO Channel Modeling
Advanced Electromagnetics
Channel modeling
Clustering
Massive MIMO
Millimeter wave
Ray tracing
5G
author_facet M. M. Tamaddondar
N. Noori
author_sort M. M. Tamaddondar
title 3D Cluster-Based Ray Tracing Technique for Massive MIMO Channel Modeling
title_short 3D Cluster-Based Ray Tracing Technique for Massive MIMO Channel Modeling
title_full 3D Cluster-Based Ray Tracing Technique for Massive MIMO Channel Modeling
title_fullStr 3D Cluster-Based Ray Tracing Technique for Massive MIMO Channel Modeling
title_full_unstemmed 3D Cluster-Based Ray Tracing Technique for Massive MIMO Channel Modeling
title_sort 3d cluster-based ray tracing technique for massive mimo channel modeling
publisher Advanced Electromagnetics
series Advanced Electromagnetics
issn 2119-0275
publishDate 2021-04-01
description In this paper, a novel 3 dimensional (3D) approach is proposed for precise modeling of massive multiple input multiple output (M-MIMO) channels in millimeter wave (mmW) frequencies. This model is based on both deterministic and statistic computations to extract characteristics of the propagation channel. In order to increase algorithm execution speed, the physical channel is divided into two regions. The first region refers to those parts of the channel which can be mapped with simple planes such as walls, ramps and etc. The second region is usually complex which is defined by considering the channel with physical clusters. These physical clusters yield multipath components (MPCs) with similar angles of arrival (AoA) and time delay. The ray-tracing algorithm is utilized to find ray paths from transmitter (Tx) to receiver (Rx). Some characteristics of MPCs in each cluster are defined according to some appropriate statistical distribution. The non-stationary property of M-MIMO along the antenna array axis is considered in the algorithm. Due to the correspondence between the propagation environment and scatters, the accuracy of the model is highly increased. To evaluate the proposed channel model, simulation results are compared with some measurements reported in the literature.
topic Channel modeling
Clustering
Massive MIMO
Millimeter wave
Ray tracing
5G
url https://aemjournal.org/index.php/AEM/article/view/1349
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