BAC-NOMA for Secondary Transmission

Ximing Xie; Shiyu Jiao; Kaidi Wang; Zhiguo Ding

doi:10.1109/LCOMM.2023.3289390

BAC-NOMA for Secondary Transmission

Ximing Xie, Shiyu Jiao, Kaidi Wang, Zhiguo Ding

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Introducing backscatter (BAC) devices into a legacy non-orthogonal multiple access (NOMA) network greatly improves spectrum efficiency, which provides a promising solution for the combination of internet of things (IoT) and wireless networks. Deep learning (DL) as an emerging optimization tool gradually attracts people's interest in wireless communication area. In this letter, a BAC-NOMA network is investigated, where a sum-rate maximization problem is formulated and the closed-form solution of backscattering coefficient is derived. The original problem is transformed and solved by a semi-definite relaxation (SDR) based algorithm and a learning based algorithm. The simulation results show that both algorithms have their own advantages and disadvantages and should be chosen wisely according to actual situations.

Original language	British English
Pages (from-to)	2481-2485
Number of pages	5
Journal	IEEE Communications Letters
Volume	27
Issue number	9
DOIs	https://doi.org/10.1109/LCOMM.2023.3289390
State	Published - 1 Sep 2023

Keywords

Backscatter
NOMA
SDR

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10.1109/LCOMM.2023.3289390

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title = "BAC-NOMA for Secondary Transmission",

abstract = "Introducing backscatter (BAC) devices into a legacy non-orthogonal multiple access (NOMA) network greatly improves spectrum efficiency, which provides a promising solution for the combination of internet of things (IoT) and wireless networks. Deep learning (DL) as an emerging optimization tool gradually attracts people's interest in wireless communication area. In this letter, a BAC-NOMA network is investigated, where a sum-rate maximization problem is formulated and the closed-form solution of backscattering coefficient is derived. The original problem is transformed and solved by a semi-definite relaxation (SDR) based algorithm and a learning based algorithm. The simulation results show that both algorithms have their own advantages and disadvantages and should be chosen wisely according to actual situations.",

keywords = "Backscatter, NOMA, SDR",

author = "Ximing Xie and Shiyu Jiao and Kaidi Wang and Zhiguo Ding",

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T1 - BAC-NOMA for Secondary Transmission

AU - Xie, Ximing

AU - Jiao, Shiyu

AU - Wang, Kaidi

AU - Ding, Zhiguo

PY - 2023/9/1

Y1 - 2023/9/1

N2 - Introducing backscatter (BAC) devices into a legacy non-orthogonal multiple access (NOMA) network greatly improves spectrum efficiency, which provides a promising solution for the combination of internet of things (IoT) and wireless networks. Deep learning (DL) as an emerging optimization tool gradually attracts people's interest in wireless communication area. In this letter, a BAC-NOMA network is investigated, where a sum-rate maximization problem is formulated and the closed-form solution of backscattering coefficient is derived. The original problem is transformed and solved by a semi-definite relaxation (SDR) based algorithm and a learning based algorithm. The simulation results show that both algorithms have their own advantages and disadvantages and should be chosen wisely according to actual situations.

AB - Introducing backscatter (BAC) devices into a legacy non-orthogonal multiple access (NOMA) network greatly improves spectrum efficiency, which provides a promising solution for the combination of internet of things (IoT) and wireless networks. Deep learning (DL) as an emerging optimization tool gradually attracts people's interest in wireless communication area. In this letter, a BAC-NOMA network is investigated, where a sum-rate maximization problem is formulated and the closed-form solution of backscattering coefficient is derived. The original problem is transformed and solved by a semi-definite relaxation (SDR) based algorithm and a learning based algorithm. The simulation results show that both algorithms have their own advantages and disadvantages and should be chosen wisely according to actual situations.

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JO - IEEE Communications Letters

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BAC-NOMA for Secondary Transmission

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Keywords

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