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Accuracy Versus Complexity for mmWave Ray-Tracing: A Full Stack Perspective

delete2021-12-01
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OA
AI
M
Mattia Lecci *
P
Paolo Testolina
M
Michele Polese
M
Marco Giordani
M
Michele Zorzi
DOI:10.1109/TWC.2021.3088349delete
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摘要

摘要

En 中文
The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems. The high propagation loss in this portion of the spectrum calls for the deployment of large antenna arrays to compensate for the loss through high directional gain, thus introducing the need for a spatial dimension in the channel model to accurately represent the performance of a mmWave network. In this perspective, ray tracing can characterize the channel in terms of Multi Path Components (MPCs) to provide a highly accurate model, at the price of extreme computational complexity (e.g., for processing detailed environment information about the propagation), which may limit the scalability of the simulations. In this paper, we present possible simplifications to improve the trade-off between accuracy and complexity in ray-tracing simulations at mmWaves by reducing the total number of MPCs. The effect of such simplifications is evaluated from a full-stack perspective through end-to-end simulations, testing different configuration parameters, propagation scenarios, and higher-layer protocol implementations. We then provide guidelines on the optimal degree of simplification, for which it is possible to reduce the complexity of simulations with a minimal reduction in accuracy for different deployment scenarios.
Keyword:
Computational modeling
Antenna arrays
Stochastic processes
Wireless communication
Millimeter wave communication
Ray tracing
Channel models
Performance evaluation
Ray-tracing
millimeter waves (mmWaves)
channel modeling
full-stack
performance evaluation
ns-3
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期刊

IEEE Transactions on Wireless Communications 封面图
IEEE Transactions on Wireless Communications
IF:
10.7
论文数:
1.3W
被引数:
5.3W

机构

U
University of Padua
学者数:
5.1W
论文数: 4.3W
被引数: 57
N
Northeastern University
学者数:
2.5W
论文数: 1.6W
被引数: 3.0W
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