The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Intelligent Reflecting Surface-Assisted Cognitive Radio System
Open accessAbstract
Cognitive radio (CR) is an effective solution to improve the spectral efficiency (SE) of wireless communications by allowing the secondary users (SUs) to share spectrum with primary users (PUs). Meanwhile, intelligent reflecting surface (IRS), also known as reconfigurable intelligent surface (RIS), has been recently proposed as a promising approach to enhance energy efficiency (EE) of wireless communication systems through intelligently reconfiguring the channel environment. To improve both SE and EE, in this paper, we introduce multiple IRSs to a downlink multiple-input single-output (MISO) CR system, in which a single SU coexists with a primary network with multiple PU receivers (PU-RXs). Our design objective is to maximize the achievable rate of SU subject to a total transmit power constraint on the SU transmitter (SU-TX) and interference temperature constraints on the PU-RXs, by jointly optimizing the beamforming at SU-TX and the reflecting coefficients at each IRS. Both perfect and imperfect channel state information (CSI) cases are considered in the optimization. Numerical results demonstrate that IRS can significantly improve the achievable rate of SU under both perfect and imperfect CSI cases.
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Cites
Wright, S. J. (2015) · Mathematical Programming · doi:10.1007/s10107-015-0892-3 · Cited by 1,438
Cited by
Toward 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
Self-citationActive Reconfigurable Intelligent Surface-Aided Wireless Communications
Long, R., Liang, Y.-C., Pei, Y., & Larsson, E. G. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3064024 · Cited by 718
Self-citationZheng, B., You, C., Mei, W., & Zhang, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3155305 · Cited by 579
Shen, S., Clerckx, B., & Murch, R. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3103256 · Cited by 268
Di Renzo, M., Zappone, A., Debbah, M., Alouini, M.-S., Yuen, C., de Rosny, J., & Tretyakov, S. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3007211 · Cited by 112
Metadata
- Authors
- Yuan, J., Liang, Y.-C., Joung, J., Feng, G., & Larsson, E. G.
- Venue
- IEEE Transactions on Communications
- Published
- 2021-01
- Volume
- 69
- Issue
- 1
- Pages
- 675-687
- ISSN
- 0090-6778 (ISSN-L)
- 1558-0857
- OpenAlex
- W3094619726
- Cited by
- 286
- References
- 1
- FWCI
- 15.36
- Type
- journal article
- Language
- en
- Open access
- green
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- Yuan, J., Liang, Y.-C., Joung, J., Feng, G., & Larsson, E. G. (2021). Intelligent Reflecting Surface-Assisted Cognitive Radio System. IEEE Transactions on Communications. https://doi.org/10.1109/tcomm.2020.3033006
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