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Channel estimation and precoder design for millimeter-wave communications: The sparse way
Abstract
We propose strategies for mmWave communications that exploit the inherent sparsity of mmWave channels in the angle and delay domains. In particular, we propose the use of aperture shaping to ensure a sparse virtual-domain MIMO channel representation; fast FFT-based modulation and demodulation schemes to expose the virtual-channel coefficients; a pilot design that facilitates fast LASSO-based sparse-channel estimation; and spectrally efficient precoding and decoding, via the Lanczos algorithm and waterfilling over both frequency and angle. Numerical experiments suggest that our approach comes close to achieving the perfect-CSI capacity of the mmWave channel.
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Cites
Fundamentals of Wireless Communication
Tse, D., & Viswanath, P. (2005) · doi:10.1017/cbo9780511807213 · Cited by 13,162
Cited by
Enabling UAV cellular with millimeter-wave communication: potentials and approaches
Xiao, Z., Xia, P., & Xia, X.-G. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470937 · Cited by 432
Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs
Mo, J., Schniter, P., & Heath, R. W. (2018) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2017.2781644 · Cited by 348
Self-citationDictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems
Ding, Y., & Rao, B. D. (2018) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2018.2843786 · Cited by 161
Beam Alignment in mmWave V2X Communications: A Survey
Tan, J., Luan, T. H., Guan, W., Wang, Y., Peng, H., Zhang, Y., Zhao, D., & Lu, N. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3383093 · Cited by 75
Predicting Wireless Channel Features Using Neural Networks
Navabi, S., Wang, C., Bursalioglu, O. Y., & Papadopoulos, H. (2018) · 2018 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2018.8422221 · Cited by 51
Metadata
- Authors
- Schniter, P., & Sayeed, A.
- Venue
- 2014 48th Asilomar Conference on Signals, Systems and Computers
- Publisher
- IEEE
- Published
- 2014-11
- Pages
- 273-277
- ISSN
- 1058-6393 (ISSN-L)
- OpenAlex
- W2056798980
- Cited by
- 203
- References
- 1
- FWCI
- 16.25
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Schniter, P., & Sayeed, A. (2014). Channel estimation and precoder design for millimeter-wave communications: The sparse way. 2014 48th Asilomar Conference on Signals, Systems and Computers. https://doi.org/10.1109/acssc.2014.7094443
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