The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
Open accessAbstract
Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cells have recently drawn significant attention due to their superior capability in manipulating electromagnetic waves. In particular, RIS-assisted wireless communications have the great potential to achieve significant performance improvement and coverage enhancement in a cost-effective and energy-efficient manner, by properly programming the reflection coefficients of the unit cells of RISs. In this article, free-space path loss models for RIS-assisted wireless communications are developed for different scenarios by studying the physics and electromagnetic nature of RISs. The proposed models, which are first validated through extensive simulation results, reveal the relationships between the free-space path loss of RIS-assisted wireless communications and the distances from the transmitter/receiver to the RIS, the size of the RIS, the near-field/far-field effects of the RIS, and the radiation patterns of antennas and unit cells. In addition, three fabricated RISs (metasurfaces) are utilized to further corroborate the theoretical findings through experimental measurements conducted in a microwave anechoic chamber. The measurement results match well with the modeling results, thus validating the proposed free-space path loss models for RISs, which may pave the way for further theoretical studies and practical applications in this field.
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Cites
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 · cited 1×
“Meanwhile, the success of millimeter wave (mmWave) trials and testbeds across the world ensures that mmWave wireless communications will be realized by 2020 [2].”
BackgroundTariq, F., Khandaker, M., Wong, K.-K., Imran, M., Bennis, M., & Debbah, M. (2019) · arXiv · doi:10.48550/arxiv.1902.06700 · Cited by 1,014
Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces
Hu, S., Rusek, F., & Edfors, O. (2018) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2018.2816577 · Cited by 892
Cited by
Prospective Multiple Antenna Technologies for Beyond 5G
Zhang, J., Bjornson, E., Matthaiou, M., Ng, D. W. K., Yang, H., & Love, D. J. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000826 · Cited by 877
Pei, X., Yin, H., Tan, L., Cao, L., Li, Z., Wang, K., Zhang, K., & Bjornson, E. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3116151 · Cited by 553
Stacked Intelligent Metasurfaces for Efficient Holographic MIMO Communications in 6G
An, J., Xu, C., Ng, D. W. K., Alexandropoulos, G. C., Huang, C., Yuen, C., & Hanzo, L. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3288261 · Cited by 358
Terahertz Massive MIMO With Holographic Reconfigurable Intelligent Surfaces
Wan, Z., Gao, Z., Gao, F., Renzo, M. D., & Alouini, M.-S. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3064949 · Cited by 269
Shen, S., Clerckx, B., & Murch, R. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3103256 · Cited by 268
Metadata
- Authors
- Tang, W., Chen, M. Z., Chen, X., Dai, J. Y., Han, Y., Di Renzo, M., Zeng, Y., Jin, S., Cheng, Q., & Cui, T. J.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2021-01
- Volume
- 20
- Issue
- 1
- Pages
- 421-439
- ISSN
- 1536-1276 (ISSN-L)
- 1558-2248
- OpenAlex
- W2984937369
- Cited by
- 1,606
- References
- 3
- FWCI
- 74.60
- Type
- journal article
- Language
- en
- Open access
- green
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- Tang, W., Chen, M. Z., Chen, X., Dai, J. Y., Han, Y., Di Renzo, M., Zeng, Y., Jin, S., Cheng, Q., & Cui, T. J. (2021). Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2020.3024887
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