Proc. IEEE International Conference on Acoustics, Speech and Signal Processing,
March 5-9, 2017, New Orleans, LA.
ADC Bit Allocation Under a Power Constraint for mmWave Massive MIMO Communication Receivers
Jinseok Choi (1),
Brian L. Evans (1) and
Alan Gatherer (2)
(1) Department of Electrical and Computer Engineering,
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
(2) Huawei Technologies, Plano, Texas USA
Paper Draft -
Archive Page -
"Space-Time Fronthaul Compression of Complex Baseband Uplink LTE Signals" (2016)
"ADC Bit Allocation under a Power Constraint
for MmWave Massive MIMO Communication Receivers"
Multiantenna Communications Project
Millimeter wave (mmWave) systems operating over a wide bandwidth and
using a large number of antennas impose a heavy burden on power consumption.
In a massive multiple-input multiple-output (MIMO) uplink, analog-to-digital
converters (ADCs) would be the primary consumer of power in the base station
This paper proposes a bit allocation (BA) method for mmWave multi-user (MU)
massive MIMO systems under a power constraint.
We apply ADCs to the outputs of an analog phased array for beamspace projection
to exploit mmWave channel sparsity.
We relax a mean square quantization error (MSQE) minimization problem and map
the closed-form solution to non-negative integer bits at each ADC.
In link-level simulations, the proposed method gives better communication
performance than conventional low-resolution ADCs for the same or less power.
Our contribution is a near optimal low-complexity BA method that minimizes
total MSQE under a power constraint.
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Last Updated 03/05/17.