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

Garkisch, Moritz ; Jamali, Vahid ; Schober, Robert (2023)
Codebook-Based User Tracking in IRS-Assisted mmWave Communication Networks.
48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). Rhodes Island, Greece (04.06.2023 - 10.06.2023)
doi: 10.1109/ICASSP49357.2023.10097027
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Garkisch, Moritz ; Jamali, Vahid ; Schober, Robert
Art des Eintrags: Bibliographie
Titel: Codebook-Based User Tracking in IRS-Assisted mmWave Communication Networks
Sprache: Englisch
Publikationsjahr: 5 Mai 2023
Verlag: IEEE
Buchtitel: IEEE ICASSP 2023: Conference Proceedings
Veranstaltungstitel: 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)
Veranstaltungsort: Rhodes Island, Greece
Veranstaltungsdatum: 04.06.2023 - 10.06.2023
DOI: 10.1109/ICASSP49357.2023.10097027
Kurzbeschreibung (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.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Resiliente Kommunikationssysteme (RCS)
Hinterlegungsdatum: 17 Jun 2024 13:43
Letzte Änderung: 14 Okt 2024 12:50
PPN: 522206670
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