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
junmo.sung@utexas.edu -
bevans@ece.utexas.edu
Paper Draft -
Presentation Slides -
Software Release
Multiantenna Communications Project
Abstract
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
beam detection.
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
standard.
The CS-based approach is compared with the exhaustive search in
terms of beam detection accuracy and by simulation is shown to
outperform.
Up to 256 antennas are considered, and the importance of a careful
codebook design is reaffirmed.
COPYRIGHT NOTICE: All the documents on this server
have been submitted by their authors to scholarly journals or conferences
as indicated, for the purpose of non-commercial dissemination of
scientific work.
The manuscripts are put on-line to facilitate this purpose.
These manuscripts are copyrighted by the authors or the journals in which
they were published.
You may copy a manuscript for scholarly, non-commercial purposes, such
as research or instruction, provided that you agree to respect these
copyrights.
Last Updated 09/07/20.