Design of PDMA Pattern Matrix in 5G Scenarios

Jiaying Sun; Chang Wang; Jie Zeng; Xin Su; Tiejun Lv

doi:10.1109/VTC2020-Spring48590.2020.9129446

Design of PDMA Pattern Matrix in 5G Scenarios

Jiaying Sun, Chang Wang, Jie Zeng, Xin Su, Tiejun Lv

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

4 Citations (Scopus)

Abstract

Pattern division multiple access (PDMA) is a novel non-orthogonal multiple access (NOMA) solution to the problem of massive connection and higher spectral efficiency for the fifth generation (5G) wireless networks. The performance of PDMA is determined by the gain brought by the PDMA pattern and is generally related to the inner product of the pattern. This paper first sets up the system model of uplink (UL) and downlink (DL) PDMA, and formulates the pattern matrix design principles for enhanced mobile broadband (eMBB), massive machine type communications (mMTC), and ultra-reliable and low latency communications (URLLC). In this paper, the design criteria and examples of 5G application scenarios are given, and the performance of different PDMA pattern matrices is compared and analyzed by link-level simulation. The effectiveness of the proposed PDMA pattern matrix design principles is verified by Monte Carlo simulation.

Original language	English
Title of host publication	2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728152073
DOIs	https://doi.org/10.1109/VTC2020-Spring48590.2020.9129446
Publication status	Published - May 2020
Externally published	Yes
Event	91st IEEE Vehicular Technology Conference, VTC Spring 2020 - Antwerp, Belgium Duration: 25 May 2020 → 28 May 2020

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2020-May
ISSN (Print)	1550-2252

Conference

Conference	91st IEEE Vehicular Technology Conference, VTC Spring 2020
Country/Territory	Belgium
City	Antwerp
Period	25/05/20 → 28/05/20

Keywords

enhanced mobile broadband (eMBB)
massive machine type communications (mMTC)
pattern division multiple access (PDMA)
pattern matrix
ultra-reliable and low latency communications (URLLC)

Access to Document

10.1109/VTC2020-Spring48590.2020.9129446

Cite this

@inproceedings{434630a8a5fe456e9e53a259b21a1a46,

title = "Design of PDMA Pattern Matrix in 5G Scenarios",

abstract = "Pattern division multiple access (PDMA) is a novel non-orthogonal multiple access (NOMA) solution to the problem of massive connection and higher spectral efficiency for the fifth generation (5G) wireless networks. The performance of PDMA is determined by the gain brought by the PDMA pattern and is generally related to the inner product of the pattern. This paper first sets up the system model of uplink (UL) and downlink (DL) PDMA, and formulates the pattern matrix design principles for enhanced mobile broadband (eMBB), massive machine type communications (mMTC), and ultra-reliable and low latency communications (URLLC). In this paper, the design criteria and examples of 5G application scenarios are given, and the performance of different PDMA pattern matrices is compared and analyzed by link-level simulation. The effectiveness of the proposed PDMA pattern matrix design principles is verified by Monte Carlo simulation.",

keywords = "enhanced mobile broadband (eMBB), massive machine type communications (mMTC), pattern division multiple access (PDMA), pattern matrix, ultra-reliable and low latency communications (URLLC)",

author = "Jiaying Sun and Chang Wang and Jie Zeng and Xin Su and Tiejun Lv",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 91st IEEE Vehicular Technology Conference, VTC Spring 2020 ; Conference date: 25-05-2020 Through 28-05-2020",

year = "2020",

month = may,

doi = "10.1109/VTC2020-Spring48590.2020.9129446",

language = "English",

series = "IEEE Vehicular Technology Conference",

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

booktitle = "2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings",

address = "United States",

}

Sun, J, Wang, C, Zeng, J, Su, X & Lv, T 2020, Design of PDMA Pattern Matrix in 5G Scenarios. in 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings., 9129446, IEEE Vehicular Technology Conference, vol. 2020-May, Institute of Electrical and Electronics Engineers Inc., 91st IEEE Vehicular Technology Conference, VTC Spring 2020, Antwerp, Belgium, 25/05/20. https://doi.org/10.1109/VTC2020-Spring48590.2020.9129446

Design of PDMA Pattern Matrix in 5G Scenarios. / Sun, Jiaying; Wang, Chang; Zeng, Jie et al.
2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9129446 (IEEE Vehicular Technology Conference; Vol. 2020-May).

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

TY - GEN

T1 - Design of PDMA Pattern Matrix in 5G Scenarios

AU - Sun, Jiaying

AU - Wang, Chang

AU - Zeng, Jie

AU - Su, Xin

AU - Lv, Tiejun

PY - 2020/5

Y1 - 2020/5

N2 - Pattern division multiple access (PDMA) is a novel non-orthogonal multiple access (NOMA) solution to the problem of massive connection and higher spectral efficiency for the fifth generation (5G) wireless networks. The performance of PDMA is determined by the gain brought by the PDMA pattern and is generally related to the inner product of the pattern. This paper first sets up the system model of uplink (UL) and downlink (DL) PDMA, and formulates the pattern matrix design principles for enhanced mobile broadband (eMBB), massive machine type communications (mMTC), and ultra-reliable and low latency communications (URLLC). In this paper, the design criteria and examples of 5G application scenarios are given, and the performance of different PDMA pattern matrices is compared and analyzed by link-level simulation. The effectiveness of the proposed PDMA pattern matrix design principles is verified by Monte Carlo simulation.

AB - Pattern division multiple access (PDMA) is a novel non-orthogonal multiple access (NOMA) solution to the problem of massive connection and higher spectral efficiency for the fifth generation (5G) wireless networks. The performance of PDMA is determined by the gain brought by the PDMA pattern and is generally related to the inner product of the pattern. This paper first sets up the system model of uplink (UL) and downlink (DL) PDMA, and formulates the pattern matrix design principles for enhanced mobile broadband (eMBB), massive machine type communications (mMTC), and ultra-reliable and low latency communications (URLLC). In this paper, the design criteria and examples of 5G application scenarios are given, and the performance of different PDMA pattern matrices is compared and analyzed by link-level simulation. The effectiveness of the proposed PDMA pattern matrix design principles is verified by Monte Carlo simulation.

KW - enhanced mobile broadband (eMBB)

KW - massive machine type communications (mMTC)

KW - pattern division multiple access (PDMA)

KW - pattern matrix

KW - ultra-reliable and low latency communications (URLLC)

UR - http://www.scopus.com/inward/record.url?scp=85088321856&partnerID=8YFLogxK

U2 - 10.1109/VTC2020-Spring48590.2020.9129446

DO - 10.1109/VTC2020-Spring48590.2020.9129446

M3 - Conference contribution

AN - SCOPUS:85088321856

T3 - IEEE Vehicular Technology Conference

BT - 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 91st IEEE Vehicular Technology Conference, VTC Spring 2020

Y2 - 25 May 2020 through 28 May 2020

ER -

Design of PDMA Pattern Matrix in 5G Scenarios

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this