Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications,
May 26-29, 2020, Atlanta, GA USA.
Compressed-Sensing Based Beam Detection in 5G NR Initial Access
Junmo Sung and
Brian L. Evans
Department of Electrical and Computer Engineering,
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
Paper Draft -
Presentation Slides -
Multiantenna Communications Project
To support millimeter wave (mmWave) frequency bands in cellular
communications, both the base station and the mobile platform
utilize large antenna arrays to steer narrow beams towards each
other to compensate the path loss and improve communication performance.
The time-frequency resource allocated for initial access, however,
is limited, which gives rise to need for efficient approaches for
For hybrid analog-digital beamforming (HB) architectures, which
are used to reduce power consumption, we propose a compressed
sensing (CS) based approach for 5G initial access beam detection
that is for a HB architecture and that is compliant with the 3GPP
The CS-based approach is compared with the exhaustive search in
terms of beam detection accuracy and by simulation is shown to
Up to 256 antennas are considered, and the importance of a careful
codebook design is reaffirmed.
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Last Updated 09/07/20.