Hybrid beamforming and DFT-based channel estimation for millimeter wave MIMO systems

Millimeter wave (mmWave) communication systems are considered to be a promising technology enabling gigabit-per-second data rates, as the mmWave band offers large transmission bandwidth. However, precoding in mmWave systems cannot be performed in digital domain, due to the large number of radio freq...

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Veröffentlicht in:2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) S. 1 - 7
Hauptverfasser: Soleimani, Maliheh, Elliott, Robert C., Krzymien, Witold A., Melzer, Jordan, Mousavi, Pedram
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2017
Schlagworte:
Antenna arrays
Array signal processing
Channel estimation
MIMO communication
Optimization
Precoding
Radio frequency
ISBN:1538635291, 9781538635292
ISSN:2166-9589
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Abstract Millimeter wave (mmWave) communication systems are considered to be a promising technology enabling gigabit-per-second data rates, as the mmWave band offers large transmission bandwidth. However, precoding in mmWave systems cannot be performed in digital domain, due to the large number of radio frequency chains required. Deploying a hybrid precoding transceiver architecture, where mmWave precoding is divided among digital and analog processing domains, is an attractive and cost-efficient alternative. Yet, the design of near-optimal hybrid precoders is a non-trivial optimization problem. In this paper, we consider transmit precoding and receive combining in mmWave systems with large antenna arrays in a partially-connected structure, then we make use of projection algorithms to greatly simplify the design problem of digital baseband and analog radio frequency precoders into two sub-optimization problems whose optimal solutions can be found. We also develop a channel estimation algorithm to estimate mmWave channel parameters via a codebook of beamforming vectors obtained through the discrete Fourier transform design. The results illustrate that the system using the proposed projection hybrid precoding and channel estimation algorithms approaches the spectral efficiency achievable when perfect channel knowledge is available.
AbstractList Millimeter wave (mmWave) communication systems are considered to be a promising technology enabling gigabit-per-second data rates, as the mmWave band offers large transmission bandwidth. However, precoding in mmWave systems cannot be performed in digital domain, due to the large number of radio frequency chains required. Deploying a hybrid precoding transceiver architecture, where mmWave precoding is divided among digital and analog processing domains, is an attractive and cost-efficient alternative. Yet, the design of near-optimal hybrid precoders is a non-trivial optimization problem. In this paper, we consider transmit precoding and receive combining in mmWave systems with large antenna arrays in a partially-connected structure, then we make use of projection algorithms to greatly simplify the design problem of digital baseband and analog radio frequency precoders into two sub-optimization problems whose optimal solutions can be found. We also develop a channel estimation algorithm to estimate mmWave channel parameters via a codebook of beamforming vectors obtained through the discrete Fourier transform design. The results illustrate that the system using the proposed projection hybrid precoding and channel estimation algorithms approaches the spectral efficiency achievable when perfect channel knowledge is available.
Author Krzymien, Witold A.
Elliott, Robert C.
Soleimani, Maliheh
Mousavi, Pedram
Melzer, Jordan
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  givenname: Maliheh
  surname: Soleimani
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  organization: Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
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  givenname: Robert C.
  surname: Elliott
  fullname: Elliott, Robert C.
  organization: Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
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  organization: Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
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  givenname: Jordan
  surname: Melzer
  fullname: Melzer, Jordan
  organization: TELUS Communications, Ottawa, Canada
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  givenname: Pedram
  surname: Mousavi
  fullname: Mousavi, Pedram
  organization: Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
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Snippet Millimeter wave (mmWave) communication systems are considered to be a promising technology enabling gigabit-per-second data rates, as the mmWave band offers...
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SubjectTerms Antenna arrays
Array signal processing
Channel estimation
MIMO communication
Optimization
Precoding
Radio frequency
Title Hybrid beamforming and DFT-based channel estimation for millimeter wave MIMO systems
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