Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI

Sravani Kurma; Keshav Singh; Prabhat Kumar Sharma; Chih Peng Li; Theodoros A. Tsiftsis

doi:10.1109/ICC45041.2023.10279490

Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI

Sravani Kurma
, Keshav Singh
, Prabhat Kumar Sharma
, Chih Peng Li
, Theodoros A. Tsiftsis^*

^*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

The cell-free massive multiple-input and multiple-output (CF-mMIMO) communication technology has the ability to handle inter-cell interference in MIMO systems, making it a potential candidate for sixth-generation (6G) wireless communication. A CF-mMIMO system is investigated in this paper for mission-critical ultra-reliable low latency communication (URLLC) applications involving a central processing unit (CPU), many distributed access points (APs), each with multiple antennas, and multiple single-antenna user equipment (UEs). In order to maximize energy efficiency (EE) and throughput gains, each AP is linked to the CPU through a fronthaul link with limited capacity, which handles the quantized uplink data to the CPU. We assume that each AP serves fewer UEs. Our approach has a minimal signal processing complexity and offers UEs uniform quality of service (QoS) as well as improved EE. Closed-form expression for outage probability (OP) in the uplink of the CF-mMIMO system considering Welch-Satterthwaite approximation is derived using a variety of Doppler power spectra (DPS) models that consider imperfect channel state information (CSI) and mobility of UEs. Our numerical simulations validate the correctness of the derived expressions.

Original language	English
Title of host publication	ICC 2023 - IEEE International Conference on Communications
Subtitle of host publication	Sustainable Communications for Renaissance
Editors	Michele Zorzi, Meixia Tao, Walid Saad
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4317-4322
Number of pages	6
ISBN (Electronic)	9781538674628
DOIs	https://doi.org/10.1109/ICC45041.2023.10279490
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy Duration: 28 May 2023 → 1 Jun 2023

Publication series

Name	IEEE International Conference on Communications
Volume	2023-May
ISSN (Print)	1550-3607

Conference

Conference	2023 IEEE International Conference on Communications, ICC 2023
Country/Territory	Italy
City	Rome
Period	28/05/23 → 1/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Free Keywords

Cell-free massive multiple-input and multiple-output
Doppler power spectra models
imperfect channel state information
outage probability
user mobility

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC45041.2023.10279490

Cite this

Kurma, S., Singh, K., Sharma, P. K., Li, C. P., & Tsiftsis, T. A. (2023). Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI. In M. Zorzi, M. Tao, & W. Saad (Eds.), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance (pp. 4317-4322). (IEEE International Conference on Communications; Vol. 2023-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC45041.2023.10279490

Kurma, Sravani ; Singh, Keshav ; Sharma, Prabhat Kumar et al. / Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI. ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. editor / Michele Zorzi ; Meixia Tao ; Walid Saad. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 4317-4322 (IEEE International Conference on Communications).

@inproceedings{b2e73bd32b344f7da22a718b1b7f8ae3,

title = "Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI",

abstract = "The cell-free massive multiple-input and multiple-output (CF-mMIMO) communication technology has the ability to handle inter-cell interference in MIMO systems, making it a potential candidate for sixth-generation (6G) wireless communication. A CF-mMIMO system is investigated in this paper for mission-critical ultra-reliable low latency communication (URLLC) applications involving a central processing unit (CPU), many distributed access points (APs), each with multiple antennas, and multiple single-antenna user equipment (UEs). In order to maximize energy efficiency (EE) and throughput gains, each AP is linked to the CPU through a fronthaul link with limited capacity, which handles the quantized uplink data to the CPU. We assume that each AP serves fewer UEs. Our approach has a minimal signal processing complexity and offers UEs uniform quality of service (QoS) as well as improved EE. Closed-form expression for outage probability (OP) in the uplink of the CF-mMIMO system considering Welch-Satterthwaite approximation is derived using a variety of Doppler power spectra (DPS) models that consider imperfect channel state information (CSI) and mobility of UEs. Our numerical simulations validate the correctness of the derived expressions.",

keywords = "Cell-free massive multiple-input and multiple-output, Doppler power spectra models, imperfect channel state information, outage probability, user mobility",

author = "Sravani Kurma and Keshav Singh and Sharma, \{Prabhat Kumar\} and Li, \{Chih Peng\} and Tsiftsis, \{Theodoros A.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Communications, ICC 2023 ; Conference date: 28-05-2023 Through 01-06-2023",

year = "2023",

doi = "10.1109/ICC45041.2023.10279490",

language = "English",

series = "IEEE International Conference on Communications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "4317--4322",

editor = "Michele Zorzi and Meixia Tao and Walid Saad",

booktitle = "ICC 2023 - IEEE International Conference on Communications",

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}

Kurma, S, Singh, K, Sharma, PK, Li, CP & Tsiftsis, TA 2023, Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI. in M Zorzi, M Tao & W Saad (eds), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE International Conference on Communications, vol. 2023-May, Institute of Electrical and Electronics Engineers Inc., pp. 4317-4322, 2023 IEEE International Conference on Communications, ICC 2023, Rome, Italy, 28/05/23. https://doi.org/10.1109/ICC45041.2023.10279490

Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI. / Kurma, Sravani; Singh, Keshav; Sharma, Prabhat Kumar et al.
ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. ed. / Michele Zorzi; Meixia Tao; Walid Saad. Institute of Electrical and Electronics Engineers Inc., 2023. p. 4317-4322 (IEEE International Conference on Communications; Vol. 2023-May).

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

TY - GEN

T1 - Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI

AU - Kurma, Sravani

AU - Singh, Keshav

AU - Sharma, Prabhat Kumar

AU - Li, Chih Peng

AU - Tsiftsis, Theodoros A.

PY - 2023

Y1 - 2023

N2 - The cell-free massive multiple-input and multiple-output (CF-mMIMO) communication technology has the ability to handle inter-cell interference in MIMO systems, making it a potential candidate for sixth-generation (6G) wireless communication. A CF-mMIMO system is investigated in this paper for mission-critical ultra-reliable low latency communication (URLLC) applications involving a central processing unit (CPU), many distributed access points (APs), each with multiple antennas, and multiple single-antenna user equipment (UEs). In order to maximize energy efficiency (EE) and throughput gains, each AP is linked to the CPU through a fronthaul link with limited capacity, which handles the quantized uplink data to the CPU. We assume that each AP serves fewer UEs. Our approach has a minimal signal processing complexity and offers UEs uniform quality of service (QoS) as well as improved EE. Closed-form expression for outage probability (OP) in the uplink of the CF-mMIMO system considering Welch-Satterthwaite approximation is derived using a variety of Doppler power spectra (DPS) models that consider imperfect channel state information (CSI) and mobility of UEs. Our numerical simulations validate the correctness of the derived expressions.

AB - The cell-free massive multiple-input and multiple-output (CF-mMIMO) communication technology has the ability to handle inter-cell interference in MIMO systems, making it a potential candidate for sixth-generation (6G) wireless communication. A CF-mMIMO system is investigated in this paper for mission-critical ultra-reliable low latency communication (URLLC) applications involving a central processing unit (CPU), many distributed access points (APs), each with multiple antennas, and multiple single-antenna user equipment (UEs). In order to maximize energy efficiency (EE) and throughput gains, each AP is linked to the CPU through a fronthaul link with limited capacity, which handles the quantized uplink data to the CPU. We assume that each AP serves fewer UEs. Our approach has a minimal signal processing complexity and offers UEs uniform quality of service (QoS) as well as improved EE. Closed-form expression for outage probability (OP) in the uplink of the CF-mMIMO system considering Welch-Satterthwaite approximation is derived using a variety of Doppler power spectra (DPS) models that consider imperfect channel state information (CSI) and mobility of UEs. Our numerical simulations validate the correctness of the derived expressions.

KW - Cell-free massive multiple-input and multiple-output

KW - Doppler power spectra models

KW - imperfect channel state information

KW - outage probability

KW - user mobility

UR - https://www.scopus.com/pages/publications/85178302711

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DO - 10.1109/ICC45041.2023.10279490

M3 - Conference contribution

AN - SCOPUS:85178302711

T3 - IEEE International Conference on Communications

SP - 4317

EP - 4322

BT - ICC 2023 - IEEE International Conference on Communications

A2 - Zorzi, Michele

A2 - Tao, Meixia

A2 - Saad, Walid

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Communications, ICC 2023

Y2 - 28 May 2023 through 1 June 2023

ER -

Kurma S, Singh K, Sharma PK, Li CP, Tsiftsis TA. Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI. In Zorzi M, Tao M, Saad W, editors, ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. Institute of Electrical and Electronics Engineers Inc. 2023. p. 4317-4322. (IEEE International Conference on Communications). doi: 10.1109/ICC45041.2023.10279490

Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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