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Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding Over Frequency-Selective Fading Channels
Open accessAbstract
This letter proposes a multi-user uplink channel estimation scheme for mmWave massive MIMO over frequency selective fading (FSF) channels. Specifically, by exploiting the angle-domain structured sparsity of mmWave FSF channels, a distributed compressive sensing-based channel estimation scheme is proposed. Moreover, by using the grid matching pursuit strategy with adaptive measurement matrix, the proposed algorithm can solve the power leakage problem caused by the continuous angles of arrival or departure. Simulation results verify the good performance of the proposed solution.
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Cited by
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Xiao, M., Mumtaz, S., Huang, Y., Dai, L., Li, Y., Matthaiou, M., Karagiannidis, G. K., Bjornson, E., Yang, K., I, C.-L., et al. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2719924 · Cited by 1,122
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Zhang, J., Bjornson, E., Matthaiou, M., Ng, D. W. K., Yang, H., & Love, D. J. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000826 · Cited by 877
Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?
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Self-citationA Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives
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Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems
Dong, P., Zhang, H., Li, G. Y., Gaspar, I. S., & NaderiAlizadeh, N. (2019) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2019.2925975 · Cited by 437
Metadata
- Authors
- Gao, Z., Hu, C., Dai, L., & Wang, Z.
- Venue
- IEEE Communications Letters
- Published
- 2016-06
- Volume
- 20
- Issue
- 6
- Pages
- 1259-1262
- ISSN
- 1089-7798 (ISSN-L)
- OpenAlex
- W2336403911
- Cited by
- 348
- References
- 0
- FWCI
- 17.53
- Type
- journal article
- Language
- en
- Open access
- green
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- Gao, Z., Hu, C., Dai, L., & Wang, Z. (2016). Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding Over Frequency-Selective Fading Channels. IEEE Communications Letters. https://doi.org/10.1109/lcomm.2016.2555299
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