An array processing approach to pilot decontamination for massive MIMO

Karthik Upadhya; Sergiy A. Vorobyov

doi:10.1109/CAMSAP.2015.7383834

An array processing approach to pilot decontamination for massive MIMO

Karthik Upadhya
, Sergiy A. Vorobyov

Sergiy Vorobyov Group

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

10 Sitaatiot (Scopus)

Abstrakti

We address the problem of pilot decontamination for massive MIMO systems for finite dimensional channels, wherein the channel vectors between the users and the base station are composed of a finite number of discrete paths. The pilot decontamination problem is addressed using high-resolution parametric spectral estimation methods, such as root multiple-signal classification (root-MUSIC), for resolving paths based on their angle-of-arrivals. The paths corresponding to the desired user are identified based on their amplitudes and then the paths are used to form the channel estimate. Our simulations show an improved performance in terms of bit-error rate compared to the existing approaches in certain critical scenarios.

Alkuperäiskieli	Englanti
Otsikko	2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Kustantaja	IEEE
Sivut	453-456
Sivumäärä	4
ISBN (painettu)	9781479919635
DOI - pysyväislinkit	https://doi.org/10.1109/CAMSAP.2015.7383834
Tila	Julkaistu - 14 tammik. 2016
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Cancun, Meksiko Kesto: 13 jouluk. 2015 → 16 jouluk. 2015 Konferenssinumero: 6 http://inspire.rutgers.edu/camsap2015/

Workshop

Workshop	IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Lyhennettä	CAMSAP
Maa/Alue	Meksiko
Kaupunki	Cancun
Ajanjakso	13/12/2015 → 16/12/2015
www-osoite	http://inspire.rutgers.edu/camsap2015/

Tutkimusalat

Pilot Decontamination, Massive MIMO, Array Processing, Spectral Analysis

Pääsy asiakirjaan

10.1109/CAMSAP.2015.7383834

Muut tiedostot ja linkit

Link to publication in Scopus

Siteeraa tätä

@inproceedings{460fcab5a32647bfaacee70a9b6f9375,

title = "An array processing approach to pilot decontamination for massive MIMO",

abstract = "We address the problem of pilot decontamination for massive MIMO systems for finite dimensional channels, wherein the channel vectors between the users and the base station are composed of a finite number of discrete paths. The pilot decontamination problem is addressed using high-resolution parametric spectral estimation methods, such as root multiple-signal classification (root-MUSIC), for resolving paths based on their angle-of-arrivals. The paths corresponding to the desired user are identified based on their amplitudes and then the paths are used to form the channel estimate. Our simulations show an improved performance in terms of bit-error rate compared to the existing approaches in certain critical scenarios.",

keywords = "Pilot Decontamination, Massive MIMO, Array Processing, Spectral Analysis, Pilot Decontamination, Massive MIMO, Array Processing, Spectral Analysis, Pilot Decontamination, Massive MIMO, Array Processing, Spectral Analysis",

author = "Karthik Upadhya and Vorobyov, \{Sergiy A.\}",

year = "2016",

month = jan,

day = "14",

doi = "10.1109/CAMSAP.2015.7383834",

language = "English",

isbn = "9781479919635",

pages = "453--456",

booktitle = "2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015",

publisher = "IEEE",

address = "United States",

note = "IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP ; Conference date: 13-12-2015 Through 16-12-2015",

url = "http://inspire.rutgers.edu/camsap2015/",

}

Upadhya, K & Vorobyov, SA 2016, An array processing approach to pilot decontamination for massive MIMO. julkaisussa 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015., 7383834, IEEE, Sivut 453-456, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Meksiko, 13/12/2015. https://doi.org/10.1109/CAMSAP.2015.7383834

An array processing approach to pilot decontamination for massive MIMO. / Upadhya, Karthik; Vorobyov, Sergiy A.
2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015. IEEE, 2016. s. 453-456 7383834.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - An array processing approach to pilot decontamination for massive MIMO

AU - Upadhya, Karthik

AU - Vorobyov, Sergiy A.

N1 - Conference code: 6

PY - 2016/1/14

Y1 - 2016/1/14

N2 - We address the problem of pilot decontamination for massive MIMO systems for finite dimensional channels, wherein the channel vectors between the users and the base station are composed of a finite number of discrete paths. The pilot decontamination problem is addressed using high-resolution parametric spectral estimation methods, such as root multiple-signal classification (root-MUSIC), for resolving paths based on their angle-of-arrivals. The paths corresponding to the desired user are identified based on their amplitudes and then the paths are used to form the channel estimate. Our simulations show an improved performance in terms of bit-error rate compared to the existing approaches in certain critical scenarios.

AB - We address the problem of pilot decontamination for massive MIMO systems for finite dimensional channels, wherein the channel vectors between the users and the base station are composed of a finite number of discrete paths. The pilot decontamination problem is addressed using high-resolution parametric spectral estimation methods, such as root multiple-signal classification (root-MUSIC), for resolving paths based on their angle-of-arrivals. The paths corresponding to the desired user are identified based on their amplitudes and then the paths are used to form the channel estimate. Our simulations show an improved performance in terms of bit-error rate compared to the existing approaches in certain critical scenarios.

KW - Pilot Decontamination, Massive MIMO, Array Processing, Spectral Analysis

UR - https://www.scopus.com/pages/publications/84963864612

U2 - 10.1109/CAMSAP.2015.7383834

DO - 10.1109/CAMSAP.2015.7383834

M3 - Conference article in proceedings

SN - 9781479919635

SP - 453

EP - 456

BT - 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015

PB - IEEE

T2 - IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Y2 - 13 December 2015 through 16 December 2015

ER -

An array processing approach to pilot decontamination for massive MIMO

Abstrakti

Workshop

Tutkimusalat

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

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