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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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
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ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2017.2720856