The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO
Open accessAbstract
Orthogonal time frequency space (OTFS) modulation outperforms orthogonal frequency division multiplexing (OFDM) in high-mobility scenarios. One challenge for OTFS massive MIMO is downlink channel estimation due to the large number of base station antennas. In this paper, we propose a 3D-structured orthogonal matching pursuit algorithm based channel estimation technique to solve this problem. First, we show that the OTFS MIMO channel exhibits 3D-structured sparsity: normal sparsity along the delay dimension, block sparsity along the Doppler dimension, and burst sparsity along the angle dimension. Based on the 3D-structured channel sparsity, we then formulate the downlink channel estimation problem as a sparse signal recovery problem. Simulation results show that the proposed algorithm can achieve accurate channel state information with low pilot overhead.
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Cites
Donoho, D. L. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.871582 · Cited by 23,994
Donoho, D. L. (2004) · Cited by 16,703
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
Heath, R. W., Gonzalez-Prelcic, N., Rangan, S., Roh, W., & Sayeed, A. M. (2016) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2016.2523924 · Cited by 2,899
Self-citationCharacterization of Randomly Time-Variant Linear Channels
Bello, P. (1963) · IEEE Transactions on Communications · doi:10.1109/tcom.1963.1088793 · Cited by 2,398
Orthogonal Time Frequency Space Modulation
Hadani, R., Rakib, S., Tsatsanis, M., Monk, A., Goldsmith, A. J., Molisch, A. F., & Calderbank, R. (2017) · 2017 IEEE Wireless Communications and Networking Conference (WCNC) · doi:10.1109/wcnc.2017.7925924 · Cited by 1,893
Interference Cancellation and Iterative Detection for Orthogonal Time Frequency Space Modulation
Raviteja, P., Phan, K. T., Hong, Y., & Viterbo, E. (2018) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2018.2860011 · Cited by 1,233
Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels
Bajwa, W. U., Haupt, J., Sayeed, A. M., & Nowak, R. (2010) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2042415 · Cited by 1,152
Embedded Pilot-Aided Channel Estimation for OTFS in Delay–Doppler Channels
Raviteja, P., Phan, K. T., & Hong, Y. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2906357 · Cited by 908
Millimeter-Wave Vehicular Communication to Support Massive Automotive Sensing
Choi, J., Va, V., Gonzalez-Prelcic, N., Daniels, R., Bhat, C. R., & Heath, R. W. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.1600071cm · Cited by 794
Self-citationIntercarrier interference self-cancellation scheme for OFDM mobile communication systems
Zhao, Y., & Haggman, S.-G. (2001) · IEEE Transactions on Communications · doi:10.1109/26.935159 · Cited by 756
Cited by
Xu, C., Xiang, L., An, J., Dong, C., Sugiura, S., Maunder, R. G., Yang, L.-L., & Hanzo, L. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3203895 · Cited by 90
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Metadata
- Authors
- Shen, W., Dai, L., An, J., Fan, P., & Heath, R. W.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2019-08-15
- Volume
- 67
- Issue
- 16
- Pages
- 4204-4217
- ISSN
- 1053-587X (ISSN-L)
- 1941-0476
- OpenAlex
- W2950013137
- Cited by
- 459
- References
- 23
- FWCI
- 12.16
- Type
- journal article
- Language
- en
- Open access
- green
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