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Title: Performance study of statistical and deterministic channel models for mmWave wi-fi networks in ns-3
To address the needs of emerging bandwidth-intensive applications in 5G and beyond era, the millimeter-wave (mmWave) band with very large spectrum availability have been recognized as a promising choice for future wireless communications. In particular, IEEE 802.11ad/ay operating on 60 GHz carrier frequency is a highly anticipated wireless local area network (WLAN) technology for supporting ultra-high-rate data transmissions. In this paper, we describe additions to the ns-3 802.11ad simulator that include 3D obstacle specifications, line-of-sight calculations, and a sparse cluster-based channel model, which allow researchers to study complex mmWave Wi-Fi network deployments under more realistic conditions. We also study the performance accuracy and simulation efficiency of the implemented statistical channel model as compared to a deterministic ray-tracing based channel model. Through extensive ns-3 simulations, the results show that the implemented channel model has the potential to achieve good accuracy in performance evaluation while improving simulation efficiency. We also provide a detailed parametric analysis on the statistical channel model, which yields insight on how to properly tune the model parameters to further improve performance accuracy.  more » « less
Award ID(s):
2016381
NSF-PAR ID:
10300228
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Proceedings of the Workshop on ns-3
Page Range / eLocation ID:
33 to 40
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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