IEEE International Conference on Communications,
Jun. 14-18, 2021, Montreal, Quebec, Canada.
Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with Low-Resolution ADCs/DACs
Yunseong Cho (1),
Jinseok Choi (2) and
Brian L. Evans (1)
(1) Department of Electrical and Computer Engineering,
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, Texas USA
(2) Department of Electrical Engineering,
Ulsan National Institute of Science and Technology,
Ulsan 44919 Republic of Korea
Paper Draft (arXiv) -
Software Release -
Multiantenna Communications Project
In this work, we present a solution for coordinated beamforming and
power allocation when base stations employ a massive number of antennas
equipped with low-resolution analog-to-digital and digital-to-analog
We address total power minimization problems of the coarsely quantized
uplink (UL) and downlink (DL) communication systems with target
signal-to-interference-and-noise ratio (SINR) constraints.
By combining the UL problem with minimum mean square error combiners
and deriving the Lagrangian dual of the DL problem, we prove UL-DL
duality and show there is no duality gap even with coarse quantizers.
Inspired by strong duality, we devise an iterative algorithm to
determine the optimal UL transmit powers, and then linearly amplify
the UL combiners with proper weights to acquire the optimal DL precoder.
Simulation results evaluate the proposed method in terms of total power
consumption and achieved SINR.
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
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
Last Updated 04/20/21.