Impact of Imperfect Channel State Information on Achievable Rate With Zero-Forcing Precoding in Massive MIMO Systems for Multi-Numerology

Hyunsoo Son; Girim Kwon; Hyuncheol Park; Joo Sung Park

doi:10.1109/MILCOM58377.2023.10356334

Impact of Imperfect Channel State Information on Achievable Rate With Zero-Forcing Precoding in Massive MIMO Systems for Multi-Numerology

Hyunsoo Son, Girim Kwon, Hyuncheol Park, Joo Sung Park

School of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We have recently proposed a zero-forcing (ZF) precoding design for massive multiple-input multiple-output (MIMO) systems with multiple numerologies, which are promising communication systems employing distinct orthogonal frequency division multiplexing (OFDM) frame structures for simultaneously satisfying diverse requirements of user equipments (UEs). While the achievable rate with the ZF precoder is analyzed with perfect channel state information at the transmitter (CSIT) in the previous work, obtaining perfect CSIT is impractical in massive MIMO systems. The achievable rate with imperfect CSIT is investigated in this paper. We consider the ZF precoding constructed by using the estimated channels from uplink channel estimation in time division duplexing systems. Both the closed-form expression of the signal-to-interference-plus-noise ratio (SINR) and the lower bound (LB) of the ergodic achievable rate in the presence of imperfect CSIT are derived. It turns out that the LB converges to the LB provided in our previous work, which assumes perfect CSIT, as the pilot-to-noise ratio becomes infinity. Simulation results verify the tightness of the LB.

Original language	English
Title of host publication	MILCOM 2023 - 2023 IEEE Military Communications Conference
Subtitle of host publication	Communications Supporting Military Operations in a Contested Environment
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	89-94
Number of pages	6
ISBN (Electronic)	9798350321814
DOIs	https://doi.org/10.1109/MILCOM58377.2023.10356334
State	Published - 2023
Event	2023 IEEE Military Communications Conference, MILCOM 2023 - Boston, United States Duration: 30 Oct 2023 → 3 Nov 2023

Publication series

Name	MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment

Conference

Conference	2023 IEEE Military Communications Conference, MILCOM 2023
Country/Territory	United States
City	Boston
Period	30/10/23 → 3/11/23

Keywords

Imperfect CSI
Massive MIMO
Multi-numerology
OFDM
Zero-forcing precoding

Access to Document

10.1109/MILCOM58377.2023.10356334

Cite this

Son, H., Kwon, G., Park, H., & Park, J. S. (2023). Impact of Imperfect Channel State Information on Achievable Rate With Zero-Forcing Precoding in Massive MIMO Systems for Multi-Numerology. In MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment (pp. 89-94). (MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM58377.2023.10356334

Son, Hyunsoo ; Kwon, Girim ; Park, Hyuncheol et al. / Impact of Imperfect Channel State Information on Achievable Rate With Zero-Forcing Precoding in Massive MIMO Systems for Multi-Numerology. MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 89-94 (MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment).

@inproceedings{189542a43b844800be8c6f1ec7fb42ed,

title = "Impact of Imperfect Channel State Information on Achievable Rate With Zero-Forcing Precoding in Massive MIMO Systems for Multi-Numerology",

abstract = "We have recently proposed a zero-forcing (ZF) precoding design for massive multiple-input multiple-output (MIMO) systems with multiple numerologies, which are promising communication systems employing distinct orthogonal frequency division multiplexing (OFDM) frame structures for simultaneously satisfying diverse requirements of user equipments (UEs). While the achievable rate with the ZF precoder is analyzed with perfect channel state information at the transmitter (CSIT) in the previous work, obtaining perfect CSIT is impractical in massive MIMO systems. The achievable rate with imperfect CSIT is investigated in this paper. We consider the ZF precoding constructed by using the estimated channels from uplink channel estimation in time division duplexing systems. Both the closed-form expression of the signal-to-interference-plus-noise ratio (SINR) and the lower bound (LB) of the ergodic achievable rate in the presence of imperfect CSIT are derived. It turns out that the LB converges to the LB provided in our previous work, which assumes perfect CSIT, as the pilot-to-noise ratio becomes infinity. Simulation results verify the tightness of the LB.",

keywords = "Imperfect CSI, Massive MIMO, Multi-numerology, OFDM, Zero-forcing precoding",

author = "Hyunsoo Son and Girim Kwon and Hyuncheol Park and Park, {Joo Sung}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Military Communications Conference, MILCOM 2023 ; Conference date: 30-10-2023 Through 03-11-2023",

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doi = "10.1109/MILCOM58377.2023.10356334",

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Son, H, Kwon, G, Park, H & Park, JS 2023, Impact of Imperfect Channel State Information on Achievable Rate With Zero-Forcing Precoding in Massive MIMO Systems for Multi-Numerology. in MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment. MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment, Institute of Electrical and Electronics Engineers Inc., pp. 89-94, 2023 IEEE Military Communications Conference, MILCOM 2023, Boston, United States, 30/10/23. https://doi.org/10.1109/MILCOM58377.2023.10356334

Impact of Imperfect Channel State Information on Achievable Rate With Zero-Forcing Precoding in Massive MIMO Systems for Multi-Numerology. / Son, Hyunsoo; Kwon, Girim; Park, Hyuncheol et al.
MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment. Institute of Electrical and Electronics Engineers Inc., 2023. p. 89-94 (MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - We have recently proposed a zero-forcing (ZF) precoding design for massive multiple-input multiple-output (MIMO) systems with multiple numerologies, which are promising communication systems employing distinct orthogonal frequency division multiplexing (OFDM) frame structures for simultaneously satisfying diverse requirements of user equipments (UEs). While the achievable rate with the ZF precoder is analyzed with perfect channel state information at the transmitter (CSIT) in the previous work, obtaining perfect CSIT is impractical in massive MIMO systems. The achievable rate with imperfect CSIT is investigated in this paper. We consider the ZF precoding constructed by using the estimated channels from uplink channel estimation in time division duplexing systems. Both the closed-form expression of the signal-to-interference-plus-noise ratio (SINR) and the lower bound (LB) of the ergodic achievable rate in the presence of imperfect CSIT are derived. It turns out that the LB converges to the LB provided in our previous work, which assumes perfect CSIT, as the pilot-to-noise ratio becomes infinity. Simulation results verify the tightness of the LB.

AB - We have recently proposed a zero-forcing (ZF) precoding design for massive multiple-input multiple-output (MIMO) systems with multiple numerologies, which are promising communication systems employing distinct orthogonal frequency division multiplexing (OFDM) frame structures for simultaneously satisfying diverse requirements of user equipments (UEs). While the achievable rate with the ZF precoder is analyzed with perfect channel state information at the transmitter (CSIT) in the previous work, obtaining perfect CSIT is impractical in massive MIMO systems. The achievable rate with imperfect CSIT is investigated in this paper. We consider the ZF precoding constructed by using the estimated channels from uplink channel estimation in time division duplexing systems. Both the closed-form expression of the signal-to-interference-plus-noise ratio (SINR) and the lower bound (LB) of the ergodic achievable rate in the presence of imperfect CSIT are derived. It turns out that the LB converges to the LB provided in our previous work, which assumes perfect CSIT, as the pilot-to-noise ratio becomes infinity. Simulation results verify the tightness of the LB.

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Son H, Kwon G, Park H, Park JS. Impact of Imperfect Channel State Information on Achievable Rate With Zero-Forcing Precoding in Massive MIMO Systems for Multi-Numerology. In MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment. Institute of Electrical and Electronics Engineers Inc. 2023. p. 89-94. (MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment). doi: 10.1109/MILCOM58377.2023.10356334

Impact of Imperfect Channel State Information on Achievable Rate With Zero-Forcing Precoding in Massive MIMO Systems for Multi-Numerology

Abstract

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Keywords

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