Codebook-Based User Tracking in IRS-Assisted mmWave Communication Networks

Garkisch M, Jamali V, Schober R (2023)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2023

Pages Range: 5

Event location: Rhodes Island, Greece GR

DOI: 10.1109/ICASSP49357.2023.10097027

Abstract

In this paper, we present a novel mobile user tracking (UT) scheme for codebook-based intelligent reflecting surface (IRS)-aided millimeter wave (mmWave) systems. The proposed UT scheme exploits the temporal correlation of the direction from the IRS to the mobile user for selecting IRS phase shifts that provide reflection towards the user. To this end, the user’s direction is periodically estimated based on a generalized likelihood ratio test (GLRT) and the user’s movement trajectory is extrapolated from several past direction estimates. The efficiency of the proposed UT scheme is evaluated in terms of the average effective rate, which accounts for both the required signaling overhead and the achieved signal-to-noise ratio (SNR). Our results show that for medium-to-high SNR, the proposed codebook-based UT scheme achieves a higher effective rate than two reference approaches based on full codebook search and optimization of the individual IRS unit cells, respectively.

Authors with CRIS profile

Moritz Garkisch Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung

Involved external institutions

Technische Universität Darmstadt DE Germany (DE)

How to cite

APA:

Garkisch, M., Jamali, V., & Schober, R. (2023). Codebook-Based User Tracking in IRS-Assisted mmWave Communication Networks. In IEEE (Eds.), Proceedings of the ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5). Rhodes Island, Greece, GR.

MLA:

Garkisch, Moritz, Vahid Jamali, and Robert Schober. "Codebook-Based User Tracking in IRS-Assisted mmWave Communication Networks." Proceedings of the ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece Ed. IEEE, 2023. 5.

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