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Channel-Coherence-Adaptive Two-Stage Fully Digital Combining for mmWave MIMO Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0003-3560-2901
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0002-5954-434X
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0001-6630-243X
BeammWave AB, Lund, Sweden.
2025 (English)In: 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2025, Institute of Electrical and Electronics Engineers (IEEE) , 2025Conference paper, Published paper (Refereed)
Abstract [en]

This paper considers a millimeter-wave wideband point-to-point MIMO system with fully digital transceivers at the base station and the user equipment (UE), focusing on mobile UE scenarios. A main challenge when building a digital UE combining is the large volume of baseband samples to handle. To mitigate computational and hardware complexity, we propose a novel two-stage digital combining scheme at the UE. The first stage reduces the Nr received signals to Nc streams before baseband processing, leveraging channel geometry for dimension reduction and updating at the beam coherence time, which is longer than the channel coherence time of the small-scale fading. By contrast, the second-stage combining is updated per fading realization. We develop a pilot-based channel estimation framework for this hardware setup based on maximum likelihood estimation in both uplink and downlink. Digital precoding and combining designs are proposed, and a spectral efficiency expression that incorporates imperfect channel knowledge is derived. The numerical results demonstrate that the proposed approach outperforms hybrid beamforming, showcasing the attractiveness of using two-stage fully digital transceivers in future systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025.
Keywords [en]
Channel Estimation, Mobile UE, Two-Stage Digital Combining, Wideband mmWave point-to-point MIMO
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-378504DOI: 10.1109/PIMRC62392.2025.11275594ISI: 001724830000431Scopus ID: 2-s2.0-105030545151OAI: oai:DiVA.org:kth-378504DiVA, id: diva2:2047966
Conference
36th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2025, Istanbul, Türkiye, September 1-4, 2025
Note

Part of ISBN 9798350363234

QC 20260323

Available from: 2026-03-23 Created: 2026-03-23 Last updated: 2026-05-29Bibliographically approved

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Khorsandmanesh, YasamanBjörnson, EmilJaldén, Joakim

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