Software & Data Downloads — 1bCRB
One-Bit CRB for estimating angular-domain channel parameters for massive MIMO.
Massive multiple-input multiple-output (MIMO) systems can significantly increase the spectral efficiency, mitigate propagation loss by exploiting large array gain, and reduce inter-user interference with high-resolution spatial beamforming. To reduce complexity and power consumption, several transceiver architectures have been proposed for mmWave massive MIMO systems: 1) an analog architecture, 2) a hybrid analog/digital architecture, and 3) a fully digital architecture with low-resolution ADCs.
To this end, we derive the Cramer-Rao bound (CRB) on estimating angular-domain channel parameters including angles-of-departure (AoDs), angles-of-arrival (AoAs), and associated channel path gains. Our analysis provides a simple tool to compare channel estimation performance among different one-bit quantization schemes. We also introduce a time-varying threshold scheme to one-bit ADCs to remove an ambiguity between the channel path gain and noise variance for the popular fixed zero-threshold scheme.
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Related Publications
- "On Angular-Domain Chanel Estimation for One-Bit Massive MIMO Systems with Fixed and Time-Varying Thresholds", Asilomar Conference on Signals, Systems and Computers (ACSSC), DOI: 10.1109/ACSSC.2017.8335511, December 2017.
,BibTeX TR2017-187 PDF Software- @inproceedings{Wang2017dec2,
- author = {Wang, Pu and Li, Jian and Pajovic, Milutin and Boufounos, Petros T. and Orlik, Philip V.},
- title = {On Angular-Domain Chanel Estimation for One-Bit Massive MIMO Systems with Fixed and Time-Varying Thresholds},
- booktitle = {Asilomar Conference on Signals, Systems and Computers (ACSSC)},
- year = 2017,
- month = dec,
- doi = {10.1109/ACSSC.2017.8335511},
- url = {https://www.merl.com/publications/TR2017-187}
- }
- "On Angular-Domain Chanel Estimation for One-Bit Massive MIMO Systems with Fixed and Time-Varying Thresholds", Asilomar Conference on Signals, Systems and Computers (ACSSC), DOI: 10.1109/ACSSC.2017.8335511, December 2017.
Software & Data Downloads
Access software at https://github.com/merlresearch/1bCRB.