2D Unitary ESPRIT Based Super-Resolution Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding

Handle URI:
http://hdl.handle.net/10754/626088
Title:
2D Unitary ESPRIT Based Super-Resolution Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding
Authors:
Liao, Anwen; Gao, Zhen; Wu, Yongpeng; Wang, Hua; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technique for the future 5G wireless communications. Due to a large number of antennas but a much smaller number of radio frequency (RF) chains, estimating the high-dimensional mmWave massive MIMO channel will bring the large pilot overhead. To overcome this challenge, this paper proposes a super-resolution channel estimation scheme based on two-dimensional (2D) unitary ESPRIT algorithm. By exploiting the angular sparsity of mmWave channels, the continuously distributed angle of arrivals/departures (AoAs/AoDs) can be jointly estimated with high accuracy. Specifically, by designing the uplink training signals at both base station (BS) and mobile station (MS), we first use low pilot overhead to estimate a low-dimensional effective channel, which has the same shift-invariance of array response as the high-dimensional mmWave MIMO channel to be estimated. From the low-dimensional effective channel, the superresolution estimates of AoAs and AoDs can be jointly obtained by exploiting the 2D unitary ESPRIT channel estimation algorithm. Furthermore, the associated path gains can be acquired based on the least squares (LS) criterion. Finally, we can reconstruct the high-dimensional mmWave MIMO channel according to the obtained AoAs, AoDs, and path gains. Simulation results have confirmed that the proposed scheme is superior to conventional schemes with a much lower pilot overhead.
KAUST Department:
Electrical Engineering Program; Physical Sciences and Engineering (PSE) Division
Citation:
Liao A, Gao Z, Wu Y, Wang H, Alouini M-S (2017) 2D Unitary ESPRIT Based Super-Resolution Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding. IEEE Access: 1–1. Available: http://dx.doi.org/10.1109/ACCESS.2017.2768579.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Access
Issue Date:
1-Nov-2017
DOI:
10.1109/ACCESS.2017.2768579
Type:
Article
ISSN:
2169-3536
Sponsors:
This work was supported by the National Natural Science Foundation of China (Grant Nos. 61701027 and 61671294).
Additional Links:
http://ieeexplore.ieee.org/document/8093607/
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorLiao, Anwenen
dc.contributor.authorGao, Zhenen
dc.contributor.authorWu, Yongpengen
dc.contributor.authorWang, Huaen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-11-02T09:09:32Z-
dc.date.available2017-11-02T09:09:32Z-
dc.date.issued2017-11-01en
dc.identifier.citationLiao A, Gao Z, Wu Y, Wang H, Alouini M-S (2017) 2D Unitary ESPRIT Based Super-Resolution Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding. IEEE Access: 1–1. Available: http://dx.doi.org/10.1109/ACCESS.2017.2768579.en
dc.identifier.issn2169-3536en
dc.identifier.doi10.1109/ACCESS.2017.2768579en
dc.identifier.urihttp://hdl.handle.net/10754/626088-
dc.description.abstractMillimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technique for the future 5G wireless communications. Due to a large number of antennas but a much smaller number of radio frequency (RF) chains, estimating the high-dimensional mmWave massive MIMO channel will bring the large pilot overhead. To overcome this challenge, this paper proposes a super-resolution channel estimation scheme based on two-dimensional (2D) unitary ESPRIT algorithm. By exploiting the angular sparsity of mmWave channels, the continuously distributed angle of arrivals/departures (AoAs/AoDs) can be jointly estimated with high accuracy. Specifically, by designing the uplink training signals at both base station (BS) and mobile station (MS), we first use low pilot overhead to estimate a low-dimensional effective channel, which has the same shift-invariance of array response as the high-dimensional mmWave MIMO channel to be estimated. From the low-dimensional effective channel, the superresolution estimates of AoAs and AoDs can be jointly obtained by exploiting the 2D unitary ESPRIT channel estimation algorithm. Furthermore, the associated path gains can be acquired based on the least squares (LS) criterion. Finally, we can reconstruct the high-dimensional mmWave MIMO channel according to the obtained AoAs, AoDs, and path gains. Simulation results have confirmed that the proposed scheme is superior to conventional schemes with a much lower pilot overhead.en
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China (Grant Nos. 61701027 and 61671294).en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/8093607/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subject2D unitary ESPRITen
dc.subjectsuper-resolutionen
dc.subjectAoAs and AoDs estimationen
dc.subjecthybrid precodingen
dc.subjectmillimeter-wave (mmWave)en
dc.subjectmassive MIMOen
dc.title2D Unitary ESPRIT Based Super-Resolution Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precodingen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalIEEE Accessen
dc.eprint.versionPost-printen
dc.contributor.institutionAdvanced Research Institute of Multidisciplinary Science (ARIMS) and School of Information and Electronics, Beijing Institute of Technology (BIT), Beijing 100081, China.en
dc.contributor.institutionDepartment of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.en
dc.contributor.institutionResearch Institute of Telecommunication Technology, School of Information and Electronics, Beijing Institute of Technology (BIT), Beijing 100081, China.en
kaust.authorAlouini, Mohamed-Slimen
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