Page 39 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4

[19] C. K. Anjinappa, A. C. Gürbüz, Y. Yapıcı, and İ. Güvenç, [31] J. Palacios, D. De Donno, and J. Widmer, “Lightweight
“Off‐grid aware channel and covariance estima‐ and effective sector beam pattern synthesis with
tion in mmWave networks,” IEEE Trans. Commun., uniform linear antenna arrays,” IEEE Antennas and
vol. 68, no. 6, pp. 3908–3921, 2020. Wireless Prop. Letters, vol. 16, pp. 605–608, 2017.

[20] Z. Zhou, J. Fang, L. Yang, H. Li, Z. Chen, and R. S. Blum,
“Low‐rank tensor decomposition‐aided channel es‐
AUTHORS
timation for millimeter wave MIMO‐OFDM systems,”
IEEE J. Sel. Areas Commun., vol. 35, no. 7, pp. 1524–
Sai Subramanyam Thoota
1538, 2017.
(IEEE Graduate Student Mem‐
[21] B. Wang, M. Jian, F. Gao, G. Y. Li, and H. Lin, ber) received his B. E. degree in
“Beam squint and channel estimation for wide‐ Electronics and Communication
band mmWave massive MIMO‐OFDM systems,” IEEE Engineering from the College
Trans. Signal Process., vol. 67, no. 23, pp. 5893–5908, of Engineering, Guindy, Anna
2019. University, Chennai, India, in
2003, and his M. Tech. degree in
[22] F. Bellili, F. Sohrabi, and W. Yu, “Generalized approx‐ Electrical Engineering from the
imate message passing for massive MIMO mmWave Indian Institute of Technology,
channel estimation with Laplacian prior,” IEEE Madras, Chennai, India, in 2006. From 2008 to 2015, he
Trans. Commun., vol. 67, no. 5, pp. 3205–3219, 2019. worked as a Chief engineer for Samsung Research India
Bangalore, India, where he worked on GSM/GPRS/EDGE
[23] F. Talaei and X. Dong, “Hybrid mmWave MIMO‐
baseband transceiver design. From 2015 to 2016, he
OFDM channel estimation based on the multi‐band
worked as a Project Associate at the Dept. of Electrical
sparse structure of channel,” IEEE Trans. Commun.,
Communication Engineering, Indian Institute of Science,
vol. 67, no. 2, pp. 1018–1030, 2019.
Bangalore, India. Since 2016, he is pursuing his Ph. D.
at the Department of Electrical Communication Engi‐
[24] A. Klautau, P. Batista, N. González‐Prelcic, Y. Wang,
neering, Indian Institute of Science, Bangalore, India. His
and R. W. Heath, “5G MIMO data for machine learn‐ research interests include massive MIMO systems, sparse
ing: Application to beam‐selection using deep learn‐
signal recovery and statistical signal processing.
ing,” in Proc. IEEE Inf. Theory and App. Workshop.
IEEE, 2018, pp. 1–9. Dolores Garcia Marti received
her bachelor’s degree in Mathe‐
[25] P. Schniter and A. Sayeed, “Channel estimation and matics from the University of Va‐
precoder design for millimeter‐wave communica‐
lencia, Spain in 2017. She received
tions: The sparse way,” in Proc. Asilomar Conf. on Sig‑
her M. Sc. in Theoretical Physics
nals, Syst., and Comput. IEEE, 2014, pp. 273–277.
degree from Imperial College, Lon‐
[26] D. P. Wipf and B. D. Rao, “Sparse Bayesian learn‐ don, UK in 2018. Since 2018, she
is pursuing a Ph. D. in communica‐
ing for basis selection,” IEEE Trans. Signal Process.,
tions at IMDEA Networks associated to the University of
vol. 52, no. 8, pp. 2153–2164, 2004.
Carlos III in Madrid, Spain. Her research interest lie in the
intersection between machine learning and millimeter‐
[27] Z. Zhang and B. D. Rao, “Sparse signal recovery with
wave communications.
temporally correlated source vectors using sparse
Bayesian learning,” IEEE J. Sel. Topics Signal Process.,
Özlem Tuğfe Demir received her
vol. 5, no. 5, pp. 912–926, 2011.
B. S., M. S., and Ph. D. degrees
in Electrical and Electronics En‐
[28] M. E. Tipping, “Sparse Bayesian learning and the rel‐
gineering from Middle East Tech‐
evance vector machine,” J. Mach. Learn. Res., vol. 1,
nical University, Ankara, Turkey,
no. Jun, pp. 211–244, 2001.
in 2012, 2014, and 2018, respec‐
[29] J. Fang, L. Zhang, and H. Li, “Two‐dimensional tively. She was a Postdoctoral Re‐
pattern‐coupled sparse Bayesian learning via gen‐ searcher with Linköping Univer‐
eralized approximate message passing,” IEEE Trans. sity, Sweden in 2019‐2020. She is currently a Postdoc
Image Process., vol. 25, no. 6, pp. 2920–2930, 2016. with KTH Royal Institute of Technology, Sweden. She has
authored the textbook Foundations of User‑Centric Cell‑
[30] J. Fang, Y. Shen, H. Li, and P. Wang, “Pattern‐coupled Free Massive MIMO (2021). Her research interests focus
sparse Bayesian learning for recovery of block‐ on signal processing and optimization in wireless com‐
sparse signals,” IEEE Trans. Signal Process., vol. 63, munications, massive MIMO, beyond 5G multiple antenna
no. 2, pp. 360–372, 2015. technologies, deep learning, and green communications.

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