The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT Under QoS Constraints
Open accessAbstract
Intelligent reflecting surface (IRS) is a new and revolutionizing technology for achieving spectrum and energy efficient wireless networks. By leveraging massive low-cost passive elements that are able to reflect radio-frequency (RF) signals with adjustable phase shifts, IRS can achieve high passive beamforming gains, which are particularly appealing for improving the efficiency of RF-based wireless power transfer. Motivated by the above, we study in this paper an IRS-assisted simultaneous wireless information and power transfer (SWIPT) system. Specifically, a set of IRSs are deployed to assist in the information/power transfer from a multi-antenna access point (AP) to multiple single-antenna information users (IUs) and energy users (EUs), respectively. We aim to minimize the transmit power at the AP via jointly optimizing its transmit precoders and the reflect phase shifts at all IRSs, subject to the quality-of-service (QoS) constraints at all users, namely, the individual signal-to-interference-plus-noise ratio (SINR) constraints at IUs and the energy harvesting constraints at EUs. However, this optimization problem is non-convex with intricately coupled variables, for which the existing alternating optimization approach is shown to be inefficient as the number of QoS constraints increases. To tackle this challenge, we first apply proper transformations on the QoS constraints and then propose an efficient iterative algorithm by applying the penalty-based optimization method. Moreover, by exploiting the short-range coverage of IRS, we further propose a more computationally efficient algorithm by optimizing the phase shifts at all IRSs in parallel. Simulation results demonstrate the effectiveness of employing multiple IRSs for enhancing the performance of SWIPT systems as well as the significant performance gains achieved by our proposed algorithms over benchmark schemes. The impact of IRS on the transmitter/receiver design for SWIPT is also unveiled.
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Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
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
Cited by
Shen, S., Clerckx, B., & Murch, R. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3103256 · Cited by 268
Resource Allocation in Intelligent Reflecting Surface Assisted NOMA Systems
Zuo, J., Liu, Y., Qin, Z., & Al-Dhahir, N. (2020) · IEEE Transactions on Communications · doi:10.1109/tcomm.2020.3016742 · Cited by 259
Basar, E., Alexandropoulos, G. C., Liu, Y., Wu, Q., Jin, S., Yuen, C., Dobre, O. A., & Schober, R. (2024) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2024.3415570 · Cited by 232
Self-citationDi 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
An, J., Xu, C., Wang, L., Liu, Y., Gan, L., & Hanzo, L. (2022) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2022.3143226 · Cited by 72
Metadata
- Authors
- Wu, Q., & Zhang, R.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2020-08
- Volume
- 38
- Issue
- 8
- Pages
- 1735-1748
- ISSN
- 0733-8716 (ISSN-L)
- 1558-0008
- OpenAlex
- W3038534820
- Cited by
- 558
- References
- 2
- FWCI
- 31.48
- Type
- journal article
- Language
- en
- Open access
- green
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- Wu, Q., & Zhang, R. (2020). Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT Under QoS Constraints. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2020.3000807
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