Laue F, Jamali Kooshkghazi V, Schober R (2021)
Publication Type: Conference contribution
Publication year: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2021-September
Pages Range: 556-560
Conference Proceedings Title: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Event location: Lucca, ITA
ISBN: 9781665428514
DOI: 10.1109/SPAWC51858.2021.9593112
This paper studies intelligent reflecting surface (IRS) assisted active device detection. Since the locations of the devices are a priori unknown, optimal IRS beam alignment is not possible and a worst-case design for a given coverage area is developed. To this end, we propose a generalized likelihood ratio test (GLRT) detection scheme and an IRS phase-shift design that minimizes the worst-case probability of misdetection. In addition to the proposed optimization-based phase-shift design, we consider two alternative suboptimal designs based on closed-form expressions for the IRS phase shifts. Our performance analysis establishes the superiority of the optimization-based design, especially for large coverage areas. Furthermore, we investigate the impact of scatterers on the proposed line-of-sight based design using simulations.
APA:
Laue, F., Jamali Kooshkghazi, V., & Schober, R. (2021). IRS-Assisted Active Device Detection. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC (pp. 556-560). Lucca, ITA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Laue, Friedemann, Vahid Jamali Kooshkghazi, and Robert Schober. "IRS-Assisted Active Device Detection." Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021, Lucca, ITA Institute of Electrical and Electronics Engineers Inc., 2021. 556-560.
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