Multi-Objective Optimization for Active IRS-Assisted Communication Systems
Xu D, Yu X, Song S, Kwan Ng DW, Schober R (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 340-345
Conference Proceedings Title: 2023 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2023
Event location: Dubrovnik
ISBN: 9798350333732
DOI: 10.1109/MeditCom58224.2023.10266592
Abstract
In this paper, we study the resource allocation algorithm design for a multiuser communication system assisted by an active intelligent reflecting surface (IRS). In particular, supported by a power source, each active IRS element can adjust the phase and amplify the magnitude of the incident signal. To realize power-efficient communication, the proposed design incorporates two conflicting yet desirable objectives, i.e., access point (AP) transmit power minimization and active IRS amplification power minimization, via a multi-objective optimization problem (MOOP). In the literature, systematic algorithms that can efficiently tackle such a non-convex MOOP while preserving joint optimality are not available. To this end, we propose a state-of-the-art optimization framework by capitalizing on bilinear transformation, ϵ-constraint, and inner approximation methods. Simulation results not only reveal the power consumption tradeoff between the AP and the active IRS, but also confirm that the proposed scheme is more power-efficient than four baseline schemes.
Authors with CRIS profile
Involved external institutions
Hong Kong University of Science and Technology (HKUST) / 香港科技大學
China (CN)
City University of Hong Kong (CityU)
China (CN)
University of New South Wales (UNSW)
Australia (AU)
China (CN)
City University of Hong Kong (CityU)
China (CN)
University of New South Wales (UNSW)
Australia (AU)
How to cite
APA:
Xu, D., Yu, X., Song, S., Kwan Ng, D.W., & Schober, R. (2023). Multi-Objective Optimization for Active IRS-Assisted Communication Systems. In 2023 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2023 (pp. 340-345). Dubrovnik, HR: Institute of Electrical and Electronics Engineers Inc..
MLA:
Xu, Dongfang, et al. "Multi-Objective Optimization for Active IRS-Assisted Communication Systems." Proceedings of the 3rd IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2023, Dubrovnik Institute of Electrical and Electronics Engineers Inc., 2023. 340-345.
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