On Achievable Rates for Massive Mimo System with Imperfect Channel Covariance Information

Kameswara Kocharlakota; Karthik Upadhya; Sergiy Vorobyov

doi:10.1109/ICASSP.2019.8682163

On Achievable Rates for Massive Mimo System with Imperfect Channel Covariance Information

Kameswara Kocharlakota
, Karthik Upadhya
, Sergiy Vorobyov

Sergiy Vorobyov Group

Nokia Bell Labs Finland

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

Abstract

An analytical lower bound on uplink channel capacity of a user in a massive multiple-input multiple-output system where the channel vector and the covariance matrices of the users in that cell are unknown is derived in this paper. This analytical bound enables us to choose appropriate sample size for covariance matrix estimation to meet the spectral efficiency requirements. The accurate agreement between the derived bound and the simulated bound based on random samples of channel vectors and covariance matrices is shown.

Original language	English
Title of host publication	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings
Publisher	IEEE
Pages	4504-4508
Number of pages	5
ISBN (Electronic)	978-1-4799-8131-1
ISBN (Print)	978-1-4799-8132-8
DOIs	https://doi.org/10.1109/ICASSP.2019.8682163
Publication status	Published - 1 May 2019
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Acoustics, Speech, and Signal Processing - Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019 Conference number: 44

Publication series

Name	Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
ISSN (Print)	1520-6149
ISSN (Electronic)	2379-190X

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated title	ICASSP
Country/Territory	United Kingdom
City	Brighton
Period	12/05/2019 → 17/05/2019

Keywords

Covariance matrices
Channel estimation
Coherence
MIMO communication
Spectral efficiency
Estimation
Channel capacity
Achievable rate
spectral efficiency
Massive multiple-input multiple-output (MIMO)
covariance estimation
channel estimation
pilot contamination

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10.1109/ICASSP.2019.8682163

Cite this

Kocharlakota, K., Upadhya, K., & Vorobyov, S. (2019). On Achievable Rates for Massive Mimo System with Imperfect Channel Covariance Information. In 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings (pp. 4504-4508). Article 8682163 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP.2019.8682163

Kocharlakota, Kameswara ; Upadhya, Karthik ; Vorobyov, Sergiy. / On Achievable Rates for Massive Mimo System with Imperfect Channel Covariance Information. 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings. IEEE, 2019. pp. 4504-4508 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

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abstract = "An analytical lower bound on uplink channel capacity of a user in a massive multiple-input multiple-output system where the channel vector and the covariance matrices of the users in that cell are unknown is derived in this paper. This analytical bound enables us to choose appropriate sample size for covariance matrix estimation to meet the spectral efficiency requirements. The accurate agreement between the derived bound and the simulated bound based on random samples of channel vectors and covariance matrices is shown.",

keywords = "Covariance matrices, Channel estimation, Coherence, MIMO communication, Spectral efficiency, Estimation, Channel capacity, Achievable rate, spectral efficiency, Massive multiple-input multiple-output (MIMO), covariance estimation, channel estimation, pilot contamination",

author = "Kameswara Kocharlakota and Karthik Upadhya and Sergiy Vorobyov",

year = "2019",

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doi = "10.1109/ICASSP.2019.8682163",

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booktitle = "44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings",

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Kocharlakota, K, Upadhya, K & Vorobyov, S 2019, On Achievable Rates for Massive Mimo System with Imperfect Channel Covariance Information. in 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings., 8682163, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, pp. 4504-4508, IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, United Kingdom, 12/05/2019. https://doi.org/10.1109/ICASSP.2019.8682163

On Achievable Rates for Massive Mimo System with Imperfect Channel Covariance Information. / Kocharlakota, Kameswara; Upadhya, Karthik; Vorobyov, Sergiy.
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings. IEEE, 2019. p. 4504-4508 8682163 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - On Achievable Rates for Massive Mimo System with Imperfect Channel Covariance Information

AU - Kocharlakota, Kameswara

AU - Upadhya, Karthik

AU - Vorobyov, Sergiy

N1 - Conference code: 44

PY - 2019/5/1

Y1 - 2019/5/1

N2 - An analytical lower bound on uplink channel capacity of a user in a massive multiple-input multiple-output system where the channel vector and the covariance matrices of the users in that cell are unknown is derived in this paper. This analytical bound enables us to choose appropriate sample size for covariance matrix estimation to meet the spectral efficiency requirements. The accurate agreement between the derived bound and the simulated bound based on random samples of channel vectors and covariance matrices is shown.

AB - An analytical lower bound on uplink channel capacity of a user in a massive multiple-input multiple-output system where the channel vector and the covariance matrices of the users in that cell are unknown is derived in this paper. This analytical bound enables us to choose appropriate sample size for covariance matrix estimation to meet the spectral efficiency requirements. The accurate agreement between the derived bound and the simulated bound based on random samples of channel vectors and covariance matrices is shown.

KW - Covariance matrices

KW - Channel estimation

KW - Coherence

KW - MIMO communication

KW - Spectral efficiency

KW - Estimation

KW - Channel capacity

KW - Achievable rate

KW - spectral efficiency

KW - Massive multiple-input multiple-output (MIMO)

KW - covariance estimation

KW - channel estimation

KW - pilot contamination

UR - https://www.scopus.com/pages/publications/85069000232

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DO - 10.1109/ICASSP.2019.8682163

M3 - Conference article in proceedings

SN - 978-1-4799-8132-8

T3 - Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

SP - 4504

EP - 4508

BT - 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings

PB - IEEE

T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 12 May 2019 through 17 May 2019

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Kocharlakota K, Upadhya K, Vorobyov S. On Achievable Rates for Massive Mimo System with Imperfect Channel Covariance Information. In 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings. IEEE. 2019. p. 4504-4508. 8682163. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). doi: 10.1109/ICASSP.2019.8682163

On Achievable Rates for Massive Mimo System with Imperfect Channel Covariance Information

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Keywords

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