(1) 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
(2) Huawei Technologies, Plano, Texas USA
Paper - Slides - Software Release
Related journal paper:
"Resolution-Adaptive Hybrid MIMO Architectures for Millimeter Wave Communications" (2018)
Related conference papers:
"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 Optimization for Spectrum- and Energy-Efficient Millimeter Wave Communications" (2017)
"ADC Bit Allocation under a Power Constraint for MmWave Massive MIMO Communication Receivers" (2016)
Multiantenna Communications Project
Q2) How often does the receiver switch the resolutions of ADCs?
A2) The receiver needs to switch the ADC resolutions at every channel coherence time for the best performance. If it is not feasible in practice, however, the receiver can switch the resolution at the coherence time of the large scale fading or angle of arrivals that are the slowly changing channel characteristics, which still achieve higher spectral and energy efficiency than fixed ADC and mixed ADC cases.
Q3) How practical is the algorithm?
A3) Flash ADCs can have very high speed conversion rate and resolution switching rate compared to other ADCs. Thus, the mmWave system with the proposed method can be realized with the flash ADCs.
Q4) For a very small receiver power limitation which is less than (b < 1) in the plot, it seems like that the performance gap between the proposed algorithm and other cases becomes larger.
A4) Yes, the performance gap will increase as the receiver power limitation decreases since the proposed algorithm optimizes the ADC bit allocation subject to the receiver power constraint unlike the other cases.
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Last Updated 11/15/18.