The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
Open accessAbstract
IRS is a new and revolutionizing technology that is able to significantly improve the performance of wireless communication networks, by smartly reconfiguring the wireless propagation environment with the use of massive low-cost passive reflecting elements integrated on a planar surface. Specifically, different elements of an IRS can independently reflect the incident signal by controlling its amplitude and/or phase and thereby collaboratively achieve fine-grained 3D passive beamforming for directional signal enhancement or nulling. In this article, we first provide an overview of the IRS technology, including its main applications in wireless communication, competitive advantages over existing technologies, hardware architecture as well as the corresponding new signal model. We then address the key challenges in designing and implementing the new IRS-aided hybrid (with both active and passive components) wireless network, as compared to the traditional network comprising active components only. Finally, numerical results are provided to show the great performance enhancement with the use of IRS in typical wireless networks.
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Cites
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
Wireless Communications Through Reconfigurable Intelligent Surfaces
Basar, E., Di Renzo, M., De Rosny, J., Debbah, M., Alouini, M.-S., & Zhang, R. (2019) · IEEE Access · doi:10.1109/access.2019.2935192 · Cited by 3,394
Self-citationToward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
Gong, S., Lu, X., Hoang, D. T., Niyato, D., Shu, L., Kim, D. I., & Liang, Y.-C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3004197 · Cited by 1,035
Simultaneously Transmitting and Reflecting (STAR) RIS Aided Wireless Communications
Mu, X., Liu, Y., Guo, L., Lin, J., & Schober, R. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3118225 · Cited by 896
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
Noor-A-Rahim, M., Liu, Z., Lee, H., Khyam, M. O., He, J., Pesch, D., Moessner, K., Saad, W., & Poor, H. V. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3173031 · Cited by 737
Metadata
- Authors
- Wu, Q., & Zhang, R.
- Venue
- IEEE Communications Magazine
- Published
- 2020-01
- Volume
- 58
- Issue
- 1
- Pages
- 106-112
- ISSN
- 0163-6804 (ISSN-L)
- 1558-1896
- OpenAlex
- W2990747873
- Cited by
- 4,308
- References
- 1
- FWCI
- 155.79
- Type
- journal article
- Language
- en
- Open access
- green
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