Department of Electrical and Computer Engineering,
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
firstname.lastname@example.org - email@example.com - firstname.lastname@example.org
Paper Draft - Poster - Software Release
Related journal paper:
"Resolution-Adaptive Hybrid MIMO Architectures for Millimeter Wave Communications" (2018)
Related conference paper:
"ADC Bit Optimization for Spectrum- and Energy-Efficient Millimeter Wave Communications" (2007)
Related poster: "ADC Bit Allocation under a Power Constraint for MmWave Massive MIMO Communication Receivers"
Multiantenna Communications Project
Q2) Why are other quantization bits, e.g. 2, 3 and 4 bits, not considered?
A2) The proposed modified one-bit GAMP is specialized for one-bit quantizers. It is not tested or verified for higher quantization resolution.
Q3) Why are analog beamformers randomly configured?
A3) With high probability, the randomly configured beamformers is expected to satisfy the restricted isometry property condition. Since it is not always true, however, I am working on optimal configuration of hybrid beamformers rather than random one.
Q4) Why GAMP?
A4) Since GAMP has both linear and non-linear steps in each iteration, it matches our system model where low-resolution quantizers cause great non-linear distortion.
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Last Updated 06/02/18.