Two-step user pairing for OFDM-based cooperative NOMA systems

In this letter, we propose a two-step user-paring scheme for an orthogonal frequency-division multiplexing (OFDM)-based cooperative non-orthogonal multiple-access (NOMA) system where far users cannot communicate with the base station directly. The first step is for allocating near users, and the sec...

Full description

Saved in:
Bibliographic Details
Main Authors: Cheng, Yanyu, Li, Kwok Hung, Teh, Kah Chan, Luo, Sheng, Wang, Wei
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/160909
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-160909
record_format dspace
spelling sg-ntu-dr.10356-1609092022-08-05T08:23:53Z Two-step user pairing for OFDM-based cooperative NOMA systems Cheng, Yanyu Li, Kwok Hung Teh, Kah Chan Luo, Sheng Wang, Wei School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering User Pairing Outage Probability In this letter, we propose a two-step user-paring scheme for an orthogonal frequency-division multiplexing (OFDM)-based cooperative non-orthogonal multiple-access (NOMA) system where far users cannot communicate with the base station directly. The first step is for allocating near users, and the second step is for allocating far users. To evaluate the performance of the proposed scheme, we derive the closed-form expression for the upper bound of the outage probability, and then obtain the achievable diversity gain. Numerical results show that the proposed scheme can achieve the optimal diversity gain confirmed by exhaustive search. 2022-08-05T08:23:53Z 2022-08-05T08:23:53Z 2020 Journal Article Cheng, Y., Li, K. H., Teh, K. C., Luo, S. & Wang, W. (2020). Two-step user pairing for OFDM-based cooperative NOMA systems. IEEE Communications Letters, 24(4), 903-906. https://dx.doi.org/10.1109/LCOMM.2020.2964665 1089-7798 https://hdl.handle.net/10356/160909 10.1109/LCOMM.2020.2964665 2-s2.0-85083158413 4 24 903 906 en IEEE Communications Letters © 2020 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
User Pairing
Outage Probability
spellingShingle Engineering::Electrical and electronic engineering
User Pairing
Outage Probability
Cheng, Yanyu
Li, Kwok Hung
Teh, Kah Chan
Luo, Sheng
Wang, Wei
Two-step user pairing for OFDM-based cooperative NOMA systems
description In this letter, we propose a two-step user-paring scheme for an orthogonal frequency-division multiplexing (OFDM)-based cooperative non-orthogonal multiple-access (NOMA) system where far users cannot communicate with the base station directly. The first step is for allocating near users, and the second step is for allocating far users. To evaluate the performance of the proposed scheme, we derive the closed-form expression for the upper bound of the outage probability, and then obtain the achievable diversity gain. Numerical results show that the proposed scheme can achieve the optimal diversity gain confirmed by exhaustive search.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Cheng, Yanyu
Li, Kwok Hung
Teh, Kah Chan
Luo, Sheng
Wang, Wei
format Article
author Cheng, Yanyu
Li, Kwok Hung
Teh, Kah Chan
Luo, Sheng
Wang, Wei
author_sort Cheng, Yanyu
title Two-step user pairing for OFDM-based cooperative NOMA systems
title_short Two-step user pairing for OFDM-based cooperative NOMA systems
title_full Two-step user pairing for OFDM-based cooperative NOMA systems
title_fullStr Two-step user pairing for OFDM-based cooperative NOMA systems
title_full_unstemmed Two-step user pairing for OFDM-based cooperative NOMA systems
title_sort two-step user pairing for ofdm-based cooperative noma systems
publishDate 2022
url https://hdl.handle.net/10356/160909
_version_ 1743119552614498304