The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
A novel millimeter-wave channel simulator and applications for 5G wireless communications
Open accessAbstract
This paper presents details and applications of a novel channel simulation software named NYUSIM, which can be used to generate realistic temporal and spatial channel responses to support realistic physical-and link-layer simulations and design for fifth-generation (5G) cellular communications. NYUSIM is built upon the statistical spatial channel model for broadband millimeter-wave (mmWave) wireless communication systems developed by researchers at New York University (NYU). The simulator is applicable for a wide range of carrier frequencies (500 MHz to 100 GHz), radio frequency (RF) bandwidths (0 to 800 MHz), antenna beamwidths (7° to 360° for azimuth and 7° to 45° for elevation), and operating scenarios (urban microcell, urban macrocell, and rural macrocell), and also incorporates multiple-input multiple-output (MIMO) antenna arrays at the transmitter and receiver. This paper also provides examples to demonstrate how to use NYUSIM for analyzing MIMO channel conditions and spectral efficiencies, which show that NYUSIM is an alternative and more realistic channel model compared to the 3rd Generation Partnership Project (3GPP) and other channel models for mmWave bands.
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Cites
Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!
Rappaport, T. S., Sun, S., Mayzus, R., Zhao, H., Azar, Y., Wang, K., Wong, G. N., Schulz, J. K., Samimi, M., & Gutierrez, F. (2013) · IEEE Access · doi:10.1109/access.2013.2260813 · Cited by 7,351
Self-citationSpatially Sparse Precoding in Millimeter Wave MIMO Systems
Ayach, O. E., Rajagopal, S., Abu-Surra, S., Pi, Z., & Heath, R. W. (2014) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2014.011714.130846 · Cited by 3,557
Empirical formula for propagation loss in land mobile radio services
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A Note on a Simple Transmission Formula
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A Statistical Theory of Mobile-Radio Reception
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Rappaport, T. S., MacCartney, G. R., Samimi, M. K., & Sun, S. (2015) · IEEE Transactions on Communications · doi:10.1109/tcomm.2015.2434384 · Cited by 1,587
Self-citationMillimeter wave wireless communications: new results for rural connectivity
MacCartney, G. R., Sun, S., Rappaport, T. S., Xing, Y., Yan, H., Koka, J., Wang, R., & Yu, D. (2016) · Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges · doi:10.1145/2980055.2987353 · Cited by 1,227
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QuaDRiGa: A 3-D Multi-Cell Channel Model With Time Evolution for Enabling Virtual Field Trials
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Propagation measurements and models for wireless communications channels
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Cited by
Rappaport, T. S., Xing, Y., Kanhere, O., Ju, S., Madanayake, A., Mandal, S., Alkhateeb, A., & Trichopoulos, G. C. (2019) · IEEE Access · doi:10.1109/access.2019.2921522 · Cited by 2,617
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Metadata
- Authors
- Sun, S., MacCartney, G. R., & Rappaport, T. S.
- Venue
- 2017 IEEE International Conference on Communications (ICC)
- Publisher
- IEEE
- Published
- 2017-05
- Pages
- 1-7
- ISSN
- 1550-3607 (ISSN-L)
- OpenAlex
- W2599033778
- Cited by
- 316
- References
- 17
- FWCI
- 55.26
- Type
- conference paper
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
