IEEE Transactions on Signal Processing,
vol. 65, no. 23, pp. 6201-6216, Dec. 2017, DOI 10.1109/TSP.2017.2745440.
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 -
Related conference papers:
"ADC Bit Optimization for Spectrum- and Energy-Efficient Millimeter Wave Communications" (2017)
"ADC Bit Allocation Under a Power Constraint for mmWave Massive MIMO Communication Receivers" (2017)
"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
In this paper, we propose a hybrid analog-digital
beamforming architecture with resolution-adaptive ADCs for
millimeter wave (mmWave) receivers with large antenna arrays.
We adopt array response vectors for the analog combiners and
derive ADC bit-allocation (BA) solutions in closed form.
The BA solutions reveal that the optimal number of ADC bits is
logarithmically proportional to the RF chain’s signal-to-noise
ratio raised to the 1/3 power.
Using the solutions, two proposed BA algorithms minimize the mean
square quantization error of
received analog signals under a total ADC power constraint.
Contributions of this paper include
Simulation results demonstrate that the BA algorithms outperform
a fixed-ADC approach in both spectral and energy efficiency, and
validate the capacity and ergodic rate formula. 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 beamformers to be
readily applied to the proposed system.
- ADC bit-allocation algorithms to improve communication
performance of a hybrid MIMO receiver,
- approximation of the capacity with the BA algorithm as a
function of channels, and
- a worst-case analysis of the ergodic rate of the proposed MIMO
receiver that quantifies system tradeoffs and serves as the
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