The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
Open accessAbstract
The adoption of a Reconfigurable Intelligent Surface (RIS) for downlink multi-user communication from a multi-antenna base station is investigated in this paper. We develop energy-efficient designs for both the transmit power allocation and the phase shifts of the surface reflecting elements, subject to individual link budget guarantees for the mobile users. This leads to non-convex design optimization problems for which to tackle we propose two computationally affordable approaches, capitalizing on alternating maximization, gradient descent search, and sequential fractional programming. Specifically, one algorithm employs gradient descent for obtaining the RIS phase coefficients, and fractional programming for optimal transmit power allocation. Instead, the second algorithm employs sequential fractional programming for the optimization of the RIS phase shifts. In addition, a realistic power consumption model for RIS-based systems is presented, and the performance of the proposed methods is analyzed in a realistic outdoor environment. In particular, our results show that the proposed RIS-based resource allocation methods are able to provide up to $300\%$ higher energy efficiency, in comparison with the use of regular multi-antenna amplify-and-forward relaying.
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Cites
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
Sun, Y., Babu, P., & Palomar, D. P. (2017) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2016.2601299 · Cited by 1,820
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-citationActive RIS vs. Passive RIS: Which Will Prevail in 6G?
Zhang, Z., Dai, L., Chen, X., Liu, C., Yang, F., Schober, R., & Poor, H. V. (2023) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3231893 · Cited by 1,150
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
Huang, C., Mo, R., & Yuen, C. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000835 · Cited by 938
Self-citationSimultaneously 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
Metadata
- Authors
- Huang, C., Zappone, A., Alexandropoulos, G. C., Debbah, M., & Yuen, C.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2019-08
- Volume
- 18
- Issue
- 8
- Pages
- 4157-4170
- ISSN
- 2331-8422 (ISSN-L)
- 1536-1276
- 1558-2248
- OpenAlex
- W2950077417
- Cited by
- 3,761
- References
- 2
- Type
- posted content
- Language
- en
- Open access
- green
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