Efficient MIMO PHY Abstraction With Imperfect CSI for Fast Simulations

Liu Cao; Lyutianyang Zhang; Sian Jin; Sumit Roy

doi:10.1109/LWC.2022.3233542

Efficient MIMO PHY Abstraction With Imperfect CSI for Fast Simulations

Liu Cao^*
, Lyutianyang Zhang
, Sian Jin
, Sumit Roy

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This letter continues our prior work in Jin et al. (2021) on efficient PHY layer abstractions for scaling link simulations for complex scenarios to include the essential real-world impact of imperfect channel estimation. We extend the EESM-log-SGN abstraction by incorporating a model for effective SINR including channel estimation error, for multiple-input and multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) configurations, tailored towards IEEE 802.11ac/ax networks. The developed methods are then validated under different MIMO configurations for subsequent inclusion in ns-3 (www.nsnam.org) based cross-layer network performance evaluation.

Original language	English
Pages (from-to)	530-534
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	12
Issue number	3
DOIs	https://doi.org/10.1109/LWC.2022.3233542
State	Published - 1 Mar 2023
Externally published	Yes

Keywords

EESM-log-SGN
MMSE receiver
PHY layer abstraction
link-to-system (L2S)

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10.1109/LWC.2022.3233542

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title = "Efficient MIMO PHY Abstraction With Imperfect CSI for Fast Simulations",

abstract = "This letter continues our prior work in Jin et al. (2021) on efficient PHY layer abstractions for scaling link simulations for complex scenarios to include the essential real-world impact of imperfect channel estimation. We extend the EESM-log-SGN abstraction by incorporating a model for effective SINR including channel estimation error, for multiple-input and multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) configurations, tailored towards IEEE 802.11ac/ax networks. The developed methods are then validated under different MIMO configurations for subsequent inclusion in ns-3 (www.nsnam.org) based cross-layer network performance evaluation.",

keywords = "EESM-log-SGN, MMSE receiver, PHY layer abstraction, link-to-system (L2S)",

author = "Liu Cao and Lyutianyang Zhang and Sian Jin and Sumit Roy",

note = "Publisher Copyright: {\textcopyright} 2012 IEEE.",

year = "2023",

month = mar,

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doi = "10.1109/LWC.2022.3233542",

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T1 - Efficient MIMO PHY Abstraction With Imperfect CSI for Fast Simulations

AU - Cao, Liu

AU - Zhang, Lyutianyang

AU - Jin, Sian

AU - Roy, Sumit

PY - 2023/3/1

Y1 - 2023/3/1

N2 - This letter continues our prior work in Jin et al. (2021) on efficient PHY layer abstractions for scaling link simulations for complex scenarios to include the essential real-world impact of imperfect channel estimation. We extend the EESM-log-SGN abstraction by incorporating a model for effective SINR including channel estimation error, for multiple-input and multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) configurations, tailored towards IEEE 802.11ac/ax networks. The developed methods are then validated under different MIMO configurations for subsequent inclusion in ns-3 (www.nsnam.org) based cross-layer network performance evaluation.

AB - This letter continues our prior work in Jin et al. (2021) on efficient PHY layer abstractions for scaling link simulations for complex scenarios to include the essential real-world impact of imperfect channel estimation. We extend the EESM-log-SGN abstraction by incorporating a model for effective SINR including channel estimation error, for multiple-input and multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) configurations, tailored towards IEEE 802.11ac/ax networks. The developed methods are then validated under different MIMO configurations for subsequent inclusion in ns-3 (www.nsnam.org) based cross-layer network performance evaluation.

KW - EESM-log-SGN

KW - MMSE receiver

KW - PHY layer abstraction

KW - link-to-system (L2S)

UR - https://www.scopus.com/pages/publications/85147230625

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DO - 10.1109/LWC.2022.3233542

M3 - 文章

AN - SCOPUS:85147230625

SN - 2162-2337

VL - 12

SP - 530

EP - 534

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 3

ER -

Efficient MIMO PHY Abstraction With Imperfect CSI for Fast Simulations

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Keywords

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