Fetching the paper…
Reading the bibliography…
Channel acquisition is one of the main challenges for the deployment of reconfigurable intelligent surface (RIS) aided communication systems.
M. Wax and T. Kailath, “Detection of signals by information theoretic criteria,” IEEE Trans. Acoust., Speech, Signal Process. , vol. 33, no. 2, pp. 387–392, Apr. 1985
1985
Earlier work this paper cites.
H. Akaike, “Information theory and an extension of the maximum likelihood principle,” in Selected papers of hirotugu akaike . Springer, 1998, pp. 199–213
1998
Earlier work this paper cites.
M. E. Tipping, “Sparse Bayesian learning and the relevance vector machine,” J. Mach. Learn. Res. , vol. 1, no. 06, pp. 211–244, June 2001
2001
Earlier work this paper cites.
J. A. Tropp and A. C. Gilbert, “Signal recovery from random measurements via orthogonal matching pursuit,” IEEE Trans. Inf. Theory , vol. 53, no. 12, pp. 4655–4666, Dec. 2007
2007
Earlier work this paper cites.
M. Elad, “Optimized projections for compressed sensing,” IEEE Trans. Signal Process. , vol. 55, no. 12, pp. 5695–5702, Dec. 2007
2007
Earlier work this paper cites.
E. J. Candes, M. B. Wakin, and S. P. Boyd, “Enhancing sparsity by reweighted ℓ 1 \ell_{1} minimization,” J. Fourier Anal. Appl , vol. 14, no. 5-6, pp. 877–905, Dec. 2008
2008
Earlier work this paper cites.
R. E. Carrillo and K. E. Barner, “Iteratively re-weighted least squares for sparse signal reconstruction from noisy measurements,” in Proc. Conf. Inf. Sci. Sys. (CISS) , Mar. 2009, pp. 448–453
2009
Earlier work this paper cites.
J. M. Duarte-Carvajalino and G. Sapiro, “Learning to sense sparse signals: Simultaneous sensing matrix and sparsifying dictionary optimization,” IEEE Trans. Image Process. , vol. 18, no. 7, pp. 1395–1408, July 2009
2009
Earlier work this paper cites.
D. Wipf and S. Nagarajan, “Iterative reweighted ℓ 1 \ell_{1} and ℓ 2 \ell_{2} methods for finding sparse solutions,” IEEE J. Sel. Topics Signal Process. , vol. 4, no. 2, pp. 317–329, Apr. 2010
2010
Earlier work this paper cites.
S. Foucart and H. Rauhut, A Mathematical Introduction to Compressive Sensing . New York, NY: Birkhauser, 2013
2013
Earlier work this paper cites.
X. Rao and V. K. Lau, “Distributed compressive CSIT estimation and feedback for FDD multi-user massive MIMO systems,” IEEE Trans. Signal Process. , vol. 62, no. 12, pp. 3261–3271, June 2014
2014
Earlier work this paper cites.
H. Yang, X. Cao, F. Yang, J. Gao, S. Xu, M. Li, X. Chen, Y. Zhao, Y. Zheng, and S. Li, “A programmable metasurface with dynamic polarization, scattering and focusing control,” Sci. Rep. , vol. 6, pp. 1–11, Oct. 2016
2016
Earlier work this paper cites.
J. Fang, F. Wang, Y. Shen, H. Li, and R. S. Blum, “Super-resolution compressed sensing for line spectral estimation: An iterative reweighted approach,” IEEE Trans. Signal Process. , vol. 64, no. 18, pp. 4649–4662, Sept. 2016
2016
Earlier work this paper cites.
C.-R. Tsai, Y.-H. Liu, and A.-Y. Wu, “Efficient compressive channel estimation for millimeter-wave large-scale antenna systems,” IEEE Trans. Signal Process. , vol. 66, no. 9, pp. 2414–2428, May 2018
2018
Earlier work this paper cites.
Y. Ding and B. D. Rao, “Dictionary learning-based sparse channel representation and estimation for FDD massive MIMO systems,” IEEE Trans. Wireless Commun. , vol. 17, no. 8, pp. 5437–5451, Aug. 2018
2018
Earlier work this paper cites.
I. A. Hemadeh, K. Satyanarayana, M. El-Hajjar, and L. Hanzo, “Millimeter-wave communications: Physical channel models, design considerations, antenna constructions, and link-budget,” IEEE Commun. Surv. Tutor. , vol. 20, no. 2, pp. 870–913, 2018
2018
Earlier work this paper cites.
E. Basar, M. Di Renzo, J. De Rosny, M. Debbah, M.-S. Alouini, and R. Zhang, “Wireless communications through reconfigurable intelligent surfaces,” IEEE Access , vol. 7, pp. 116 753–116 773, Sept. 2019
2019
Earlier work this paper cites.
M. Di Renzo, M. Debbah, D.-T. Phan-Huy, A. Zappone, M.-S. Alouini, C. Yuen, V. Sciancalepore, G. C. Alexandropoulos, J. Hoydis, H. Gacanin, J. De Rosny, A. Bounceur, G. Lerosey, and M. Fink, “Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come,” EURASIP J. Wirelless Commun. Netw. , vol. 2019, no. 1, pp. 1–20, May 2019
2019
Cited alongside, same era.
Y.-C. Liang, R. Long, Q. Zhang, J. Chen, H. V. Cheng, and H. Guo, “Large intelligent surface/antennas (LISA): Making reflective radios smart,” J. Commun. Inf. Netw. , vol. 4, no. 2, June 2019
2019
Cited alongside, same era.
J. C. B. Garcia, M. Kamoun, and A. Sibille, “Reconfigurable passive relaying array for coverage enhancement,” in Proc. IEEE Wireless Commun. Network. Conf. (WCNC) , Oct. 2019, pp. 1–6
2019
Cited alongside, same era.
Q. Wu and R. Zhang, “Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming,” IEEE Trans. Wireless Commun. , vol. 18, no. 11, pp. 5394–5409, Nov. 2019
Q.-U.-A. Nadeem, A. Kammoun, A. Chaaban, M. Debbah, and M.-S. Alouini, “Asymptotic analysis of large intelligent surface assisted MIMO communication,” IEEE Trans. Wireless Commun. , vol. 19, no. 12, pp. 7748–7764, Dec. 2020
2020
Closest in time.
H. Guo, Y.-C. Liang, J. Chen, and E. G. Larsson, “Weighted sum-rate maximization for reconfigurable intelligent surface aided wireless networks,” IEEE Trans. Wireless Commun. , vol. 19, no. 5, pp. 3064–3076, May 2020
2020
Closest in time.
C. Pan, H. Ren, K. Wang, W. Xu, M. Elkashlan, A. Nallanathan, and L. Hanzo, “Multicell MIMO communications relying on intelligent reflecting surfaces,” IEEE Trans. Wireless Commun. , vol. 19, no. 8, pp. 5218–5233, Aug. 2020
2020
Closest in time.
G. Zhou, C. Pan, H. Ren, K. Wang, and A. Nallanathan, “Intelligent reflecting surface aided multigroup multicast MISO communication systems,” IEEE Trans. Signal Process. , vol. 68, pp. 3236–3251, Apr. 2020
2020
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2019
Cited alongside, same era.
Q. Wu and R. Zhang, “Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network,” IEEE Commun. Mag. , vol. 58, no. 1, pp. 106–112, Nov. 2019
2019
Cited alongside, same era.
J. Chen, Y.-C. Liang, Y. Pei, and H. Guo, “Intelligent reflecting surface: A programmable wireless environment for physical layer security,” IEEE Access , vol. 7, pp. 82 599 – 82 612, June 2019
2019
Cited alongside, same era.
C. Huang, A. Zappone, G. C. Alexandropoulos, M. Debbah, and C. Yuen, “Reconfigurable intelligent surfaces for energy efficiency in wireless communication,” IEEE Trans. Wireless Commun. , vol. 18, no. 8, pp. 4157–4170, Aug. 2019
2019
Cited alongside, same era.
Y. Yang, S. Zhang, and R. Zhang, “IRS-enhanced OFDM: Power allocation and passive array optimization,” in Proc. IEEE Global Commun. Conf. (GLOBECOM) , Dec. 2019, pp. 1–6
2019
Cited alongside, same era.
D. Mishra and H. Johansson, “Channel estimation and low-complexity beamforming design for passive intelligent surface assisted MISO wireless energy transfer,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP) , 2019
2019
Cited alongside, same era.
B. Zheng and R. Zhang, “Intelligent reflecting surface-enhanced OFDM: Channel estimation and reflection optimization,” IEEE Wireless Commun. Lett. , vol. 9, no. 4, pp. 518–522, 2019
2019
Cited alongside, same era.
C. Huang, G. C. Alexandropoulos, C. Yuen, and M. Debbah, “Indoor signal focusing with deep learning designed reconfigurable intelligent surfaces,” in Proc. IEEE Workshop Signal Process. Adv. Wireless Commun. (SPAWC) , Aug. 2019, pp. 1–5
2019
Cited alongside, same era.
J. Chen, L. Zhang, and Y.-C. Liang, “Exploiting Gaussian mixture model clustering for full-duplex transceiver design,” IEEE Trans. Commun. , vol. 67, no. 8, pp. 5802–5816, May 2019
2019
Cited alongside, same era.
P. Wang, J. Fang, X. Yuan, Z. Chen, and H. Li, “Intelligent reflecting surface-assisted millimeter wave communications: Joint active and passive precoding design,” IEEE Trans. Veh. Technol. , vol. 69, no. 12, pp. 14 960–14 973, Dec. 2020
2020
Closest in time.
N. S. Perović, M. Di Renzo, and M. F. Flanagan, “Channel capacity optimization using reconfigurable intelligent surfaces in indoor mmWave environments,” in Proc. IEEE Inter. Conf. Commun. (ICC) , June 2020, pp. 1–7
2020
Closest in time.
Z.-Q. He and X. Yuan, “Cascaded channel estimation for large intelligent metasurface assisted massive MIMO,” IEEE Wireless Commun. Lett. , vol. 9, no. 2, pp. 210–214, Feb. 2020
2020
Closest in time.
T. L. Jensen and E. De Carvalho, “An optimal channel estimation scheme for intelligent reflecting surfaces based on a minimum variance unbiased estimator,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP) , 2020
2020
Closest in time.
C. You, B. Zheng, and R. Zhang, “Intelligent reflecting surface with discrete phase shifts: Channel estimation and passive beamforming,” in Proc. Inter. Conf. Commun. (ICC) , June 2020, pp. 1–6
2020
Closest in time.
B. Zheng, C. You, and R. Zhang, “Intelligent reflecting surface assisted multi-user OFDMA: Channel estimation and training design,” IEEE Trans. Wireless Commun. , vol. 19, no. 12, pp. 8315–8329, Dec. 2020
2020
Closest in time.
H. Liu, X. Yuan, and Y.-J. A. Zhang, “Matrix-calibration-based cascaded channel estimation for reconfigurable intelligent surface assisted multiuser MIMO,” IEEE J. Sel. Areas Commun. , vol. 38, no. 11, pp. 2621–2636, Nov. 2020
2020
Closest in time.
S. Abeywickrama, R. Zhang, Q. Wu, and C. Yuen, “Intelligent reflecting surface: Practical phase shift model and beamforming optimization,” IEEE Trans. Commun. , vol. 68, no. 9, pp. 5849–5863, Sept. 2020
2020
Closest in time.
S. W. Ellingson, “Path loss in reconfigurable intelligent surface-enabled channels,” in Proc. IEEE Ann. Int. Sym. Personal Indoor Mobile Radio Commun. (PIMRC) , Oct. 2021, pp. 829–835
2021
Closest in time.
W. Tang, M. Z. Chen, X. Chen, J. Y. Dai, Y. Han, M. Di Renzo, Y. Zeng, S. Jin, Q. Cheng, and T. J. Cui, “Wireless communications with reconfigurable intelligent surface: Path loss modeling and experimental measurement,” IEEE Trans. Wireless Commun. , vol. 20, no. 1, pp. 421–439, Jan. 2021
2021
Closest in time.
M. Jung, W. Saad, M. Debbah, and C. S. Hong, “On the optimality of reconfigurable intelligent surfaces (RISs): Passive beamforming, modulation, and resource allocation,” IEEE Trans. Wireless Commun. , vol. 20, no. 7, pp. 4347–4363, 2021
2021
Closest in time.
A. Taha, M. Alrabeiah, and A. Alkhateeb, “Enabling large intelligent surfaces with compressive sensing and deep learning,” IEEE Access , vol. 9, pp. 44 304–44 321, Mar. 2021
2021
Closest in time.
T. Jiang, H. V. Cheng, and W. Yu, “Learning to reflect and to beamform for intelligent reflecting surface with implicit channel estimation,” IEEE J. Sel. Areas Commun. , vol. 39, no. 7, pp. 1931–1945, July 2021
2021
Closest in time.