Globally Optimal Resource Allocation Design for IRS-Assisted Multiuser Networks with Discrete Phase Shifts

Wu Y, Xu D, Ng DWK, Schober R, Gerstacker W (2023)

Publication Type: Conference contribution

Publication year: 2023

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 1216-1221

Conference Proceedings Title: 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023

Event location: Rome, ITA

ISBN: 9798350333077

DOI: 10.1109/ICCWorkshops57953.2023.10283561

Abstract

Intelligent reflecting surfaces (IRSs) are envisioned as a low-cost solution to achieve high spectral and energy efficiency in future communication systems due to their ability to customize wireless propagation environments. Although resource allocation design for IRS-assisted multiuser wireless communication systems has been exhaustively investigated in the literature, the optimal design and performance of such systems are still not well understood. To fill this gap, in this paper, we study optimal resource allocation for IRS-assisted multiuser multiple-input single-output (MISO) systems. In particular, we jointly optimize the beamforming at the base station (BS) and the discrete IRS phase shifts to minimize the total transmit power. For attaining the globally optimal solution of the formulated non-convex combinatorial optimization problem, we develop a resource allocation algorithm with guaranteed convergence based on Schur's complement and the generalized Bender's decomposition. Our numerical results reveal that the proposed algorithm can significantly reduce the BS transmit power compared to the state-of-the-art suboptimal alternating optimization-based approach, especially for moderate-to-large numbers of IRS elements.

Authors with CRIS profile

Yifei Wu Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung Wolfgang Gerstacker Lehrstuhl für Digitale Übertragung

Involved external institutions

University of New South Wales (UNSW) AU Australia (AU) Hong Kong University of Science and Technology (HKUST) / 香港科技大學 CN China (CN)

How to cite

APA:

Wu, Y., Xu, D., Ng, D.W.K., Schober, R., & Gerstacker, W. (2023). Globally Optimal Resource Allocation Design for IRS-Assisted Multiuser Networks with Discrete Phase Shifts. In 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023 (pp. 1216-1221). Rome, ITA: Institute of Electrical and Electronics Engineers Inc..

MLA:

Wu, Yifei, et al. "Globally Optimal Resource Allocation Design for IRS-Assisted Multiuser Networks with Discrete Phase Shifts." Proceedings of the 2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023, Rome, ITA Institute of Electrical and Electronics Engineers Inc., 2023. 1216-1221.

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