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NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions

NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions
NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions
Broader applications of the Internet of Things (IoT) are expected in the forthcoming 6G system, although massive IoT is already a key scenario in 5G, predominantly relying on physical layer solutions inherited from 4G LTE and primarily using orthogonal multiple access (OMA). In 6G IoT, supporting a massive number of connections will be required for diverse services of the vertical sectors, prompting fundamental studies on how to improve the spectral efficiency of the system. One of the key enabling technologies is non-orthogonal multiple access (NOMA). This paper consists of two parts. In the first part, finite block length theory and the diversity order of multi-user systems will be used to show the significant potential of NOMA compared to traditional OMA. The supremacy of NOMA over OMA is particularly pronounced for asynchronous contention-based systems relying on imperfect link adaptation, which are commonly assumed for massive IoT systems. To approach these performance bounds, in the second part of the paper, several promising technology directions are proposed for 6G massive IoT, including linear spreading, joint spreading & modulation, multi-user channel coding in the context of various techniques for practical uncoordinated transmissions, cell-free operations, etc., from the perspective of NOMA.
0163-6804
Yuan, Yifei
910847b3-07fc-4207-a939-a458d3f09a81
Wang, Sen
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Wu, Yongpeng
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Poor, H. Vincent
ace801ca-0c45-451f-9509-217ea29e32e1
Ding, Zhiguo
3880e390-c1a9-450e-940b-e184e6d532d2
You, Xiaohu
4b34d278-a357-4608-8711-d4d25bff20b6
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yuan, Yifei
910847b3-07fc-4207-a939-a458d3f09a81
Wang, Sen
0c563b6f-8e90-4a52-bdde-39b16ec2d4e1
Wu, Yongpeng
93de8f86-e9af-4a90-9306-4838183e57af
Poor, H. Vincent
ace801ca-0c45-451f-9509-217ea29e32e1
Ding, Zhiguo
3880e390-c1a9-450e-940b-e184e6d532d2
You, Xiaohu
4b34d278-a357-4608-8711-d4d25bff20b6
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Yuan, Yifei, Wang, Sen, Wu, Yongpeng, Poor, H. Vincent, Ding, Zhiguo, You, Xiaohu and Hanzo, Lajos (2021) NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions. IEEE Communications Magazine. (In Press)

Record type: Article

Abstract

Broader applications of the Internet of Things (IoT) are expected in the forthcoming 6G system, although massive IoT is already a key scenario in 5G, predominantly relying on physical layer solutions inherited from 4G LTE and primarily using orthogonal multiple access (OMA). In 6G IoT, supporting a massive number of connections will be required for diverse services of the vertical sectors, prompting fundamental studies on how to improve the spectral efficiency of the system. One of the key enabling technologies is non-orthogonal multiple access (NOMA). This paper consists of two parts. In the first part, finite block length theory and the diversity order of multi-user systems will be used to show the significant potential of NOMA compared to traditional OMA. The supremacy of NOMA over OMA is particularly pronounced for asynchronous contention-based systems relying on imperfect link adaptation, which are commonly assumed for massive IoT systems. To approach these performance bounds, in the second part of the paper, several promising technology directions are proposed for 6G massive IoT, including linear spreading, joint spreading & modulation, multi-user channel coding in the context of various techniques for practical uncoordinated transmissions, cell-free operations, etc., from the perspective of NOMA.

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NOMA for 6G massive IoT_COMMAG-20-00997R2_final - Accepted Manuscript
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Accepted/In Press date: 9 April 2021

Identifiers

Local EPrints ID: 448312
URI: http://eprints.soton.ac.uk/id/eprint/448312
ISSN: 0163-6804
PURE UUID: 2ec4289c-7f4c-4560-bb20-d8e67f72f025
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 20 Apr 2021 16:30
Last modified: 17 Mar 2024 02:35

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Contributors

Author: Yifei Yuan
Author: Sen Wang
Author: Yongpeng Wu
Author: H. Vincent Poor
Author: Zhiguo Ding
Author: Xiaohu You
Author: Lajos Hanzo ORCID iD

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