Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model

Thai Hoc Vu; Khac Tuan Nguyen; Quoc Viet Pham; Thien Huynh-The; Daniel Benevides Da Costa; Vo Nguyen Quoc Bao; Sunghwan Kim

doi:10.1109/SSP53291.2023.10207980

Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model

Thai Hoc Vu^*, Khac Tuan Nguyen, Quoc Viet Pham, Thien Huynh-The, Daniel Benevides Da Costa, Vo Nguyen Quoc Bao, Sunghwan Kim

^*Corresponding author for this work

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

2 Scopus citations

Abstract

This paper investigates the performance of indoor terahertz (THz)-aided non-orthogonal multiple access (NOMA) systems in the context of spherical stochastic distances in downlink channel models. With the aim of improving system performance gains, a novel user pairing scheme subject to power control criterion is proposed to adaptively change with regard to the users' location acquisition and signal's transmit power. Then, we derive exact closed-form expressions for the user's outage probability (OP) in order to gain some engineering insights, i.e., key parameters affecting the system performance trend. Monte Carlo simulation is presented to corroborate the accuracy of the theoretical analysis as well as demonstrate the effectiveness of the proposed user-pairing approach.

Original language	English
Title of host publication	Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023
Publisher	IEEE Computer Society
Pages	135-139
Number of pages	5
ISBN (Electronic)	9781665452458
DOIs	https://doi.org/10.1109/SSP53291.2023.10207980
State	Published - 2023
Externally published	Yes
Event	22nd IEEE Statistical Signal Processing Workshop, SSP 2023 - Hanoi, Viet Nam Duration: 2 Jul 2023 → 5 Jul 2023

Publication series

Name	IEEE Workshop on Statistical Signal Processing Proceedings
Volume	2023-July

Conference

Conference	22nd IEEE Statistical Signal Processing Workshop, SSP 2023
Country/Territory	Viet Nam
City	Hanoi
Period	2/07/23 → 5/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Non-orthogonal multiple access (NOMA)
outage probability (OP)
power control
stochastic channel 3D modelling
terahertz (THz) communications
user paring

ASJC Scopus subject areas

Electrical and Electronic Engineering
Applied Mathematics
Signal Processing
Computer Science Applications

Access to Document

10.1109/SSP53291.2023.10207980

Cite this

Vu, T. H., Nguyen, K. T., Pham, Q. V., Huynh-The, T., Da Costa, D. B., Nguyen Quoc Bao, V., & Kim, S. (2023). Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model. In Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023 (pp. 135-139). (IEEE Workshop on Statistical Signal Processing Proceedings; Vol. 2023-July). IEEE Computer Society. https://doi.org/10.1109/SSP53291.2023.10207980

@inproceedings{27e9c611142941a2b41278200efa8b8a,

title = "Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model",

abstract = "This paper investigates the performance of indoor terahertz (THz)-aided non-orthogonal multiple access (NOMA) systems in the context of spherical stochastic distances in downlink channel models. With the aim of improving system performance gains, a novel user pairing scheme subject to power control criterion is proposed to adaptively change with regard to the users' location acquisition and signal's transmit power. Then, we derive exact closed-form expressions for the user's outage probability (OP) in order to gain some engineering insights, i.e., key parameters affecting the system performance trend. Monte Carlo simulation is presented to corroborate the accuracy of the theoretical analysis as well as demonstrate the effectiveness of the proposed user-pairing approach.",

keywords = "Non-orthogonal multiple access (NOMA), outage probability (OP), power control, stochastic channel 3D modelling, terahertz (THz) communications, user paring",

author = "Vu, \{Thai Hoc\} and Nguyen, \{Khac Tuan\} and Pham, \{Quoc Viet\} and Thien Huynh-The and \{Da Costa\}, \{Daniel Benevides\} and \{Nguyen Quoc Bao\}, Vo and Sunghwan Kim",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 22nd IEEE Statistical Signal Processing Workshop, SSP 2023 ; Conference date: 02-07-2023 Through 05-07-2023",

year = "2023",

doi = "10.1109/SSP53291.2023.10207980",

language = "English",

series = "IEEE Workshop on Statistical Signal Processing Proceedings",

publisher = "IEEE Computer Society",

pages = "135--139",

booktitle = "Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023",

address = "United States",

}

Vu, TH, Nguyen, KT, Pham, QV, Huynh-The, T, Da Costa, DB, Nguyen Quoc Bao, V & Kim, S 2023, Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model. in Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023. IEEE Workshop on Statistical Signal Processing Proceedings, vol. 2023-July, IEEE Computer Society, pp. 135-139, 22nd IEEE Statistical Signal Processing Workshop, SSP 2023, Hanoi, Viet Nam, 2/07/23. https://doi.org/10.1109/SSP53291.2023.10207980

Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model. / Vu, Thai Hoc; Nguyen, Khac Tuan; Pham, Quoc Viet et al.
Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023. IEEE Computer Society, 2023. p. 135-139 (IEEE Workshop on Statistical Signal Processing Proceedings; Vol. 2023-July).

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

TY - GEN

T1 - Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model

AU - Vu, Thai Hoc

AU - Nguyen, Khac Tuan

AU - Pham, Quoc Viet

AU - Huynh-The, Thien

AU - Da Costa, Daniel Benevides

AU - Nguyen Quoc Bao, Vo

AU - Kim, Sunghwan

PY - 2023

Y1 - 2023

N2 - This paper investigates the performance of indoor terahertz (THz)-aided non-orthogonal multiple access (NOMA) systems in the context of spherical stochastic distances in downlink channel models. With the aim of improving system performance gains, a novel user pairing scheme subject to power control criterion is proposed to adaptively change with regard to the users' location acquisition and signal's transmit power. Then, we derive exact closed-form expressions for the user's outage probability (OP) in order to gain some engineering insights, i.e., key parameters affecting the system performance trend. Monte Carlo simulation is presented to corroborate the accuracy of the theoretical analysis as well as demonstrate the effectiveness of the proposed user-pairing approach.

AB - This paper investigates the performance of indoor terahertz (THz)-aided non-orthogonal multiple access (NOMA) systems in the context of spherical stochastic distances in downlink channel models. With the aim of improving system performance gains, a novel user pairing scheme subject to power control criterion is proposed to adaptively change with regard to the users' location acquisition and signal's transmit power. Then, we derive exact closed-form expressions for the user's outage probability (OP) in order to gain some engineering insights, i.e., key parameters affecting the system performance trend. Monte Carlo simulation is presented to corroborate the accuracy of the theoretical analysis as well as demonstrate the effectiveness of the proposed user-pairing approach.

KW - Non-orthogonal multiple access (NOMA)

KW - outage probability (OP)

KW - power control

KW - stochastic channel 3D modelling

KW - terahertz (THz) communications

KW - user paring

UR - https://www.scopus.com/pages/publications/85168912182

U2 - 10.1109/SSP53291.2023.10207980

DO - 10.1109/SSP53291.2023.10207980

M3 - Conference contribution

AN - SCOPUS:85168912182

T3 - IEEE Workshop on Statistical Signal Processing Proceedings

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BT - Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023

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T2 - 22nd IEEE Statistical Signal Processing Workshop, SSP 2023

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ER -

Vu TH, Nguyen KT, Pham QV, Huynh-The T, Da Costa DB, Nguyen Quoc Bao V et al. Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model. In Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023. IEEE Computer Society. 2023. p. 135-139. (IEEE Workshop on Statistical Signal Processing Proceedings). doi: 10.1109/SSP53291.2023.10207980

Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this