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Data-Driven Robust Beamforming for Initial Access
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Ericsson Res, Sweden.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2023 (English)In: IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, IEEE , 2023, p. 5757-5762Conference paper, Published paper (Refereed)
Abstract [en]

We consider a robust beamforming problem where large amount of downlink (DL) channel state information (CSI) data available at a multiple antenna access point (AP) is used to improve the link quality to a user equipment (UE) for beyond-5G and 6G applications such as environment-specific initial access (IA) or wireless power transfer (WPT). As the DL CSI available at the current instant may be imperfect or outdated, we propose a novel scheme which utilizes the (unknown) correlation between the antenna domain and physical domain to localize the possible future UE positions from the historical CSI database. Then, we develop a codebook design procedure to maximize the minimum sum beamforming gain to that localized CSI neighborhood. We also incorporate a UE specific parameter to enlarge the neighborhood to robustify the link further. We adopt an indoor channel model to demonstrate the performance of our solution, and benchmark against a usually optimal (but now sub-optimal due to outdated CSI) maximum ratio transmission (MRT) and a subspace based method. We numerically show that our algorithm outperforms the other methods by a large margin. This shows that customized environment-specific solutions are important to solve many future wireless applications, and we have paved the way to develop further data-driven approaches.

Place, publisher, year, edition, pages
IEEE , 2023. p. 5757-5762
Series
IEEE Global Communications Conference, ISSN 2334-0983, E-ISSN 2576-6813
Keywords [en]
6G; beyond-5G; codebook; data-driven; initial access; robust beamforming
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-202556DOI: 10.1109/GLOBECOM54140.2023.10437781ISI: 001178562006053ISBN: 9798350310900 (electronic)ISBN: 9798350310917 (print)OAI: oai:DiVA.org:liu-202556DiVA, id: diva2:1852000
Conference
IEEE Conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity, Kuala Lumpur, MALAYSIA, dec 04-08, 2023
Note

Funding Agencies|REINDEER project of the European Union's Horizon 2020 research and innovation program [101013425]

Available from: 2024-04-16 Created: 2024-04-16 Last updated: 2024-04-16

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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