IEEE Transactions on Signal Processing, submitted April 10, 2017.
Resolution-Adaptive Hybrid MIMO Architectures for Millimeter Wave Communications
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 -
"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
Hybrid analog-digital beamforming architectures with low-resolution
analog-to-digital converters (ADCs) reduce hardware cost and power
consumption in multiple-input multiple-output (MIMO) millimeter
wave (mmWave) communication systems.
In this paper, we propose a hybrid architecture with resolution-adaptive
ADCs for mmWave receivers with large antenna arrays.
We adopt array response vectors for the analog combiners and derive
ADC bit allocation (BA) algorithms.
The two proposed BA algorithms minimize the mean square quantization
error of received analog signals under a total ADC power constraint.
It is beneficial to assign more bits to the ADC with a larger channel
gain on the corresponding radio frequency (RF) chain, and the optimal
number of ADC bits is logarithmically proportional to the RF chain’s
signal-to-noise ratio raised to the 1/3 power.
Contributions of this paper include
Simulation results validate the ergodic rate formula and demonstrate
that the proposed BA algorithms outperform a fixed-ADC approach in both
spectral and energy efficiency.
For a power constraint equivalent to that of fixed 4-bit ADCs, the
revised BA algorithm makes the quantization error negligible while
achieving 22% better energy efficiency.
Having negligible quantization error allows existing state-of-the-art
digital beamforming techniques to be readily applied to the proposed system.
- an ADC bit allocation algorithm to improve communication performance
of a hybrid MIMO receiver,
- a revised ADC bit allocation algorithm that is robust to additive
- a worst-case analysis of the ergodic rate of the proposed MIMO
receiver that quantifies system tradeoffs and serves as the lower bound.
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Last Updated 04/11/17.