Recast Subspace Pursuit-based Channel Estimation for Hybrid Beamforming NarrowBand Millimeter-Wave Massive MIMO Systems

Millimeter wave (mmWave) wireless communication systems with hybrid beamforming require reliable estimation of channel state information to perform optimally. Though the combined high-speed analog-to-digital converters (ADCs) and hybrid precoder/combiner architecture of this system ameliorate the pr...

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Vydáno v:IEEE Vehicular Technology Conference s. 1 - 6
Hlavní autor: Oyerinde, Olutayo Oyeyemi
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2022
Témata:
Array signal processing
Channel estimation
Estimation
hybrid precoder
millimeter wave
Millimeter wave technology
narrowband channel
Simulation
Vehicular and wireless technologies
Wireless communication
ISSN:2577-2465
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Abstract Millimeter wave (mmWave) wireless communication systems with hybrid beamforming require reliable estimation of channel state information to perform optimally. Though the combined high-speed analog-to-digital converters (ADCs) and hybrid precoder/combiner architecture of this system ameliorate the problem of high-power consumption, they make channel estimation to become cumbersome. The paper proposed a channel estimation scheme that is based on a conventional subspace pursuit algorithm. The proposed estimator is named Recast Subspace Pursuit (ReSP)-based channel estimator. Besides taking advantage of the inherent sparsity in the mmWave Massive MIMO channel, the ReSP-based estimator also exploits the a-priori knowledge of channel matrix support-set as side information for the estimation procedure. Simulation results confirm that the proposed ReSP-based channel estimator can exhibit improved performance than some traditional and earlier proposed channel estimation schemes.
AbstractList Millimeter wave (mmWave) wireless communication systems with hybrid beamforming require reliable estimation of channel state information to perform optimally. Though the combined high-speed analog-to-digital converters (ADCs) and hybrid precoder/combiner architecture of this system ameliorate the problem of high-power consumption, they make channel estimation to become cumbersome. The paper proposed a channel estimation scheme that is based on a conventional subspace pursuit algorithm. The proposed estimator is named Recast Subspace Pursuit (ReSP)-based channel estimator. Besides taking advantage of the inherent sparsity in the mmWave Massive MIMO channel, the ReSP-based estimator also exploits the a-priori knowledge of channel matrix support-set as side information for the estimation procedure. Simulation results confirm that the proposed ReSP-based channel estimator can exhibit improved performance than some traditional and earlier proposed channel estimation schemes.
Author Oyerinde, Olutayo Oyeyemi
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  fullname: Oyerinde, Olutayo Oyeyemi
  email: Olutayo.Oyerinde@wits.ac.za
  organization: University of the Witwatersrand,School of Electrical and Information Engineering,Johannesburg,South Africa,2050
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SubjectTerms Array signal processing
Channel estimation
Estimation
hybrid precoder
millimeter wave
Millimeter wave technology
narrowband channel
Simulation
Vehicular and wireless technologies
Wireless communication
Title Recast Subspace Pursuit-based Channel Estimation for Hybrid Beamforming NarrowBand Millimeter-Wave Massive MIMO Systems
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