The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks
Open accessAbstract
Intelligent reflecting surface (IRS) has recently been recognized as a promising technology to enhance the energy and spectrum efficiency of wireless networks by controlling the wireless medium with the configurable electromagnetic materials. In this paper, we consider the downlink transmit power minimization problem for a IRS- empowered non-orthogonal multiple access (NOMA) network by jointly optimizing the transmit beamformers at the BS and the phase-shift matrix at the IRS. However, this problem turns out to be a highly intractable non-convex bi- quadratic programming problem, for which an alternative minimization framework is proposed via solving the non- convex quadratic programs alternatively. We further develop a novel difference-of-convex (DC) programming algorithm to solve the resulting non-convex quadratic programs efficiently by lifting the quadratic programs into rank-one constrained matrix optimization problems, followed by representing the non-convex rank function as a DC function. Simulation results demonstrate the performance gains of the proposed method.
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Cites
Federated Learning via Over-the-Air Computation
Yang, K., Jiang, T., Shi, Y., & Ding, Z. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2961673 · Cited by 1,084 · cited 3×
“Although the SDR technique can solve problems (11) and (15), the probability of the obtained solution being rank-one is small, especially when the dimension of the optimization parameters is high [9, 18].”
BackgroundSelf-citationData Shuffling in Wireless Distributed Computing via Low-Rank Optimization
Yang, K., Shi, Y., & Ding, Z. (2019) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2019.2912139 · Cited by 43
Self-citationNonconvex Demixing From Bilinear Measurements
Dong, J., & Shi, Y. (2018) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2018.2864660 · Cited by 37
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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
Wang, Z., Liu, L., & Cui, S. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.3004330 · Cited by 914
Basharat, S., Hassan, S. A., Pervaiz, H., Mahmood, A., Ding, Z., & Gidlund, M. (2021) · IEEE Wireless Communications · doi:10.1109/mwc.011.2100016 · Cited by 319
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
Reconfigurable Intelligent Surface for Green Edge Inference
Hua, S., Zhou, Y., Yang, K., Shi, Y., & Wang, K. (2021) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2021.3058657 · Cited by 74
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Metadata
- Authors
- Fu, M., Zhou, Y., & Shi, Y.
- Venue
- 2019 IEEE Globecom Workshops (GC Wkshps)
- Publisher
- IEEE
- Published
- 2019-12
- Pages
- 1-6
- OpenAlex
- W3011154968
- Cited by
- 199
- References
- 3
- FWCI
- 53.56
- Type
- conference paper
- Language
- en
- Open access
- green
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- Fu, M., Zhou, Y., & Shi, Y. (2019). Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks. 2019 IEEE Globecom Workshops (GC Wkshps). https://doi.org/10.1109/gcwkshps45667.2019.9024675
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