Resource Allocation for Active IRS-Assisted Multiuser Communication Systems

Xu D, Yu X, Kwan Ng DW, Schober R (2021)

Publication Type: Conference contribution

Publication year: 2021

Journal

Conference Record of the Asilomar Conference on Signals, Systems and Computers Institute of Electrical and Electronics Engineers

Publisher: IEEE Computer Society

Book Volume: 2021-October

Pages Range: 113-119

Conference Proceedings Title: Conference Record - Asilomar Conference on Signals, Systems and Computers

Event location: Virtual, Pacific Grove, CA, USA

ISBN: 9781665458283

DOI: 10.1109/IEEECONF53345.2021.9723093

Abstract

Intelligent reflecting surfaces (IRSs) are emerging as promising enablers for the next generation of wireless communication systems, because of their ability to customize favorable radio propagation environments. However, with the conventional passive architecture, IRSs can only adjust the phase of the incident signals limiting the achievable beamforming gain. To fully unleash the potential of IRSs, in this paper, we consider a more general IRS architecture, i.e., active IRSs, which can adapt the phase and amplify the magnitude of the reflected incident signal simultaneously with the support of an additional power source. To realize green communication in active IRS-assisted multiuser systems, we jointly optimize the reflection matrix at the IRS and the beamforming vector at the base station (BS) for the minimization of the BS transmit power. The resource allocation algorithm design is formulated as an optimization problem taking into account the maximum power budget of the active IRS and the quality-of-service (QoS) requirements of the users. To handle the non-convex design problem, we develop a novel and computationally efficient algorithm based on the bilinear transformation and inner approximation methods. The proposed algorithm is guaranteed to converge to a locally optimal solution of the considered problem. Simulation results illustrate the effectiveness of the proposed scheme compared to two baseline schemes. Moreover, the results unveil that deploying active IRSs is a promising approach to enhance the system performance compared to conventional passive IRSs, especially when strong direct links exist.

Authors with CRIS profile

Dongfang Xu Lehrstuhl für Digitale Übertragung Robert Schober 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:

Xu, D., Yu, X., Kwan Ng, D.W., & Schober, R. (2021). Resource Allocation for Active IRS-Assisted Multiuser Communication Systems. In Michael B. Matthews (Eds.), Conference Record - Asilomar Conference on Signals, Systems and Computers (pp. 113-119). Virtual, Pacific Grove, CA, USA: IEEE Computer Society.

MLA:

Xu, Dongfang, et al. "Resource Allocation for Active IRS-Assisted Multiuser Communication Systems." Proceedings of the 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021, Virtual, Pacific Grove, CA, USA Ed. Michael B. Matthews, IEEE Computer Society, 2021. 113-119.

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