Channel Estimation for Hybrid Architecture-Based Wideband Millimeter Wave Systems

Hybrid analog and digital precoding allows millimeter wave (mmWave) systems to achieve both array and multiplexing gain. The design of the hybrid precoders and combiners, though, is usually based on the knowledge of the channel. Prior work on mmWave channel estimation with hybrid architectures focus...

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Vydané v:	IEEE journal on selected areas in communications Ročník 35; číslo 9; s. 1996 - 2009
Hlavní autori:	Venugopal, Kiran, Alkhateeb, Ahmed, Gonzalez Prelcic, Nuria, Heath, Robert W.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.09.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Broadband Channel estimation Channels compressed sensing Dictionaries Equalization Frequency domains Frequency-domain analysis frequency-selective channel hybrid precoder-combiner Hybrid systems IEEE 802.11ad Millimeter wave communications MIMO multi-stream MIMO Narrowband OFDM Orthogonal Frequency Division Multiplexing Selectivity sparse recovery Training Transceivers Wideband
ISSN:	0733-8716, 1558-0008
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Abstract	Hybrid analog and digital precoding allows millimeter wave (mmWave) systems to achieve both array and multiplexing gain. The design of the hybrid precoders and combiners, though, is usually based on the knowledge of the channel. Prior work on mmWave channel estimation with hybrid architectures focused on narrowband channels. Since mmWave systems will be wideband with frequency selectivity, it is vital to develop channel estimation solutions for hybrid architectures-based wideband mmWave systems. In this paper, we develop a sparse formulation and compressed sensing-based solutions for the wideband mmWave channel estimation problem for hybrid architectures. First, we leverage the sparse structure of the frequency-selective mmWave channels and formulate the channel estimation problem as a sparse recovery in both time and frequency domains. Then, we propose explicit channel estimation techniques for purely time or frequency domains and for combined time/frequency domains. Our solutions are suitable for both single carrier-frequency domain equalization and orthogonal frequency-division multiplexing systems. Simulation results show that the proposed solutions achieve good channel estimation quality, while requiring small training overhead. Leveraging the hybrid architecture at the transceivers gives further improvement in estimation error performance and achievable rates.
AbstractList	Hybrid analog and digital precoding allows millimeter wave (mmWave) systems to achieve both array and multiplexing gain. The design of the hybrid precoders and combiners, though, is usually based on the knowledge of the channel. Prior work on mmWave channel estimation with hybrid architectures focused on narrowband channels. Since mmWave systems will be wideband with frequency selectivity, it is vital to develop channel estimation solutions for hybrid architectures-based wideband mmWave systems. In this paper, we develop a sparse formulation and compressed sensing-based solutions for the wideband mmWave channel estimation problem for hybrid architectures. First, we leverage the sparse structure of the frequency-selective mmWave channels and formulate the channel estimation problem as a sparse recovery in both time and frequency domains. Then, we propose explicit channel estimation techniques for purely time or frequency domains and for combined time/frequency domains. Our solutions are suitable for both single carrier-frequency domain equalization and orthogonal frequency-division multiplexing systems. Simulation results show that the proposed solutions achieve good channel estimation quality, while requiring small training overhead. Leveraging the hybrid architecture at the transceivers gives further improvement in estimation error performance and achievable rates.
Author	Venugopal, Kiran Gonzalez Prelcic, Nuria Heath, Robert W. Alkhateeb, Ahmed
Author_xml	– sequence: 1 givenname: Kiran surname: Venugopal fullname: Venugopal, Kiran email: kiranv@utexas.edu organization: Univ. of Texas at Austin, Austin, TX, USA – sequence: 2 givenname: Ahmed surname: Alkhateeb fullname: Alkhateeb, Ahmed email: aalkhateeb@fb.com organization: Univ. of Texas at Austin, Austin, TX, USA – sequence: 3 givenname: Nuria surname: Gonzalez Prelcic fullname: Gonzalez Prelcic, Nuria email: nuria@gts.uvigo.es organization: Univ. of Vigo, Vigo, Spain – sequence: 4 givenname: Robert W. surname: Heath fullname: Heath, Robert W. email: rheath@utexas.edu organization: Univ. of Texas at Austin, Austin, TX, USA
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Snippet	Hybrid analog and digital precoding allows millimeter wave (mmWave) systems to achieve both array and multiplexing gain. The design of the hybrid precoders and...
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SubjectTerms	Broadband Channel estimation Channels compressed sensing Dictionaries Equalization Frequency domains Frequency-domain analysis frequency-selective channel hybrid precoder-combiner Hybrid systems IEEE 802.11ad Millimeter wave communications MIMO multi-stream MIMO Narrowband OFDM Orthogonal Frequency Division Multiplexing Selectivity sparse recovery Training Transceivers Wideband
Title	Channel Estimation for Hybrid Architecture-Based Wideband Millimeter Wave Systems
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