PARAFAC-Based Channel Estimation for Intelligent Reflective Surface Assisted MIMO System

E. Basar, “Reconfigurable intelligent surface-based index modulation: A new beyond MIMO paradigm for 6G,” 2019, [Online]. Available: https://arxiv.org/abs/1904.06704

Original

1904

Earlier work this paper cites.

Z. Q. He and X. Yuan, “Cascaded channel estimation for large intelligent metasurface assisted massive MIMO,” 2019, https://arxiv.org/abs/1905.07948v2

Original

1905

Earlier work this paper cites.

E. Björnson, Ö. Özdogan, and E. G. Larsson, “Intelligent reflecting surface vs. decode-and-forward: How large surfaces are needed to beat relaying?” Nov 2019, [Online]. Available: http://arxiv.org/abs/1906.03949

Original

1906

Earlier work this paper cites.

T. L. Jensen and E. D. Carvalho, “On optimal channel estimation scheme for intelligent reflecting surfaces based on a minimum variance unbiased estimator,” 2019, [Online]. Available: https://arxiv.org/abs/1909.09440v1

Original

1909

Earlier work this paper cites.

T. L. Jensen and E. D. Carvalho, “An optimal channel estimation scheme for intelligent reflecting surfaces based on a minimum variance unbiased estimator,” 2019, [Online]. Available: https://arxiv.org/pdf/1909.09440

Original

1909

Earlier work this paper cites.

S. Gong, X. Lu, D. T. Hoang, D. Niyato, L. Shu, D. I. Kim, and Y.-C. Liang, “Towards smart radio environment for wireless communications via intelligent reflecting surfaces: A comprehensive survey,” 2019, [Online]. Available: https://arxiv.org/abs/1912.07794

Original

1912

Earlier work this paper cites.

B. Ning, Z. Chen, W. Chen, Y. Du, and J. Fang, “Channel estimation and hybrid beamforming for reconfigurable intelligent surfaces assisted Thz communications,” December 2019, [Online]. Available: https://arxiv.org/pdf/1912.11662

Original

1912

Earlier work this paper cites.

Y. Cui and H. Yin, “An efficient CSI acquisition method for intelligent reflecting surface-assisted mmwave networks,” December 2019, [Online]. Available: https://arxiv.org/abs/1912.12076

Original

1912

Cited alongside, same era.

R. A. Harshman, “Foundations of the PARAFAC procedure: Models and conditions for an explanatory multimodal factor analysis,” UCLA Working Papers in Phonetics , vol. 16, pp. 1–84, 1970

1970

Cited alongside, same era.

T. G. Kolda and B. W. Bader, “Tensor decompositions and applications,” SIAM Review , vol. 51, no. 3, pp. 455–500, 2009

2009

Cited alongside, same era.

P. Comon, X. Luciani, and A. L. F. de Almeida, “Tensor decompositions, alternating least squares and other tales,” Journal of Chemometrics , vol. 23, no. 7-8, pp. 393–405, 2009

2009

Cited alongside, same era.

A. L. F. de Almeida, G. Favier, J. P. C. L. da Costa, and J. C. M. Mota, “Overview of tensor decompositions with applications to communications,” in Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing , R. Coelho, V. Nascimento, R. de Queiroz, J. Romano, and C. Cavalcante, Eds. CRC-Press, Jan. 2016, no. Chapter 12, pp. 325–356

2016

Later among the works it cites.

N. D. Sidiropoulos, L. De Lathauwer, X. Fu, K. Huang, E. E. Papalexakis, and C. Faloutsos, “Tensor decomposition for signal processing and machine learning,” IEEE Transactions on Signal Processing , vol. 65, no. 13, pp. 3551–3582, July 2017

2017

Later among the works it cites.

C. Liaskos, S. Nie, A. Tsioliaridou, A. Pitsillides, S. Ioannidis, and I. F. Akyildiz, “A new wireless communication paradigm through software-controlled metasurfaces,” IEEE Communications Magazine , vol. 56, pp. 162–169, 2018

2018

Later among the works it cites.