In this paper, we propose an adaptive beamforming matrix feedback scheme, which guarantees the best packet error rate (PER) by selecting the beamforming matrix between singular value decomposition (SVD) and geometric mean decomposition (GMD) based beamforming matrices. The physical layer (PHY)-abstraction is utilized for joint PER prediction and modulation and coding scheme (MCS) level selection. In addition, a low complexity GMD is proposed where the iterative GMD process is converted to 2×2 block-wise GMD without iteration. Each 2×2 GMD is further simplified to remove the square-root and division operators for easy hardware implementation. The simulation is performed extensively via a 802.11ax link-level simulator. The results show that the proposed adaptive feedback scheme provides a significant performance gain in comparison to the conventional SVD- or GMD-based beamforming matrix feedback scheme. Also, the proposed GMD has an advantage in both complexity and PER performance when the number receive antenna is more than two.


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    Title :

    Adaptive Feedback of the Channel Information for Beamforming in IEEE 802.11ax WLANs


    Contributors:
    Jeon, Eunsung (author) / Lee, Wook Bong (author) / Ahn, Minki (author) / Kim, Sungsoo (author) / Kim, Joonsuk (author)


    Publication date :

    2019-09-01


    Size :

    242352 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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