Subspace-Based Approaches for Hybrid Millimeter-Wave Channel Estimation

  • Majid Shakhsi Dastgahian Electrical Engineering Department Ferdowsi University of Mashhad Mashhad, Iran
  • Hossein Khoshbin Ghomash Electrical Engineering Department Ferdowsi University of Mashhad Mashhad, Iran
Keywords: Millimeter wave MIMO systems, sparse channel estimation, support, multiple measurement vectors (MMV), subspace augmentation (SA)

Abstract

Millimeter wave communication (mmWC) is a promising volunteer for 5G communication systems with high data rates. To subdue the channel propagation characteristics in this frequency band, high dimensional antenna arrays need to be deployed at transceiver. Employing such a deployment, prevents to use of ADC or RF chain in each branch of MIMO system because of power constraints. Thus, such systems impose to have a hybrid analog/digital precoding/combining architecture. Hence, channel estimation revision seems to be essential. This paper propose new algorithms to estimate the mmW channel by exploiting the sparse nature of the channel and finding the subspace of received signal vectors based on MUSIC. By combining the multiple measurement vector (MMV) concept, MISIC , subspace augmentation (SA) and two-stage orthogonal subspace matching pursuit (TOSMP) approaches, we try to recover the indices of non-zero elements of an unknown channel matrix accurately even under the defective- rank condition. These indices are called support in the context. Simulation results indicate MUSIC-based approaches offer lower estimation error and higher sum rates compared with conventional MMV solutions.

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Author Biography

Hossein Khoshbin Ghomash, Electrical Engineering Department Ferdowsi University of Mashhad Mashhad, Iran

received the B.Sc. degree in electronics engineering and the M.Sc. degree in communications engineering in 1985 and 1987, respectively, both from Isfahan University of Technology, Isfahan, Iran. He received the Ph.D. degree in communications engineering from the University of Bath, United Kingdom, in 2000. He is currently an Associative Professor at the Department of Electrical and Computer Engineering, Ferdowsi University, Mashhad, Iran. His research interests include communication theory, digital and wireless communicareceived the B.Sc. degree in electronics engineering and the M.Sc. degree in communications engineering in 1985 and 1987, respectively, both from Isfahan University of Technology, Isfahan, Iran. He received the Ph.D. degree in communications engineering from the University of Bath, United Kingdom, in 2000. He is currently an Associative Professor at the Department of Electrical and Computer Engineering, Ferdowsi University, Mashhad, Iran. His research interests include communication theory, digital and wireless communications.

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Volume 9- Number 4-1-Autumn 2017
Published
2018-08-11
How to Cite
Shakhsi Dastgahian, M., & Khoshbin Ghomash, H. (2018, August 11). Subspace-Based Approaches for Hybrid Millimeter-Wave Channel Estimation. International Journal of Information & Communication Technology Research, 9(4), 1-10. Retrieved from http://journal.itrc.ac.ir/index.php/ijictr/article/view/352
Section
Communication Technology