Movable Antenna Empowered Downlink NOMA Systems: Power Allocation and Antenna Position Optimization

This letter investigates a novel communication paradigm employing movable antennas (MAs) within a multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink framework, where users are equipped with MAs. Initially, leveraging the far-field response, we delineate the channel characteristics concerning both the power allocation coefficient and positions of MAs. Subsequently, we endeavor to maximize the channel capacity by jointly optimizing power allocation and antenna positions. To tackle the resultant non-concave problem, we propose an alternating optimization (AO) scheme underpinned by successive convex approximation (SCA) to converge towards a stationary point. Through numerical simulations, our findings substantiate the superiority of the MA-assisted NOMA system over both orthogonal multiple access (OMA) and conventional NOMA configurations in terms of average sum rate and outage probability.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-08-19
DOI
https://doi.org/10.1109/lwc.2024.3445110
Citations
28
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
5.84

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article

Movable Antenna Empowered Downlink NOMA Systems: Power Allocation and Antenna Position Optimization

Yufeng Zhou, Qingqing Wu, Nan Cheng, Xusheng Zhu et al.
28 citations
IEEE Wireless Communications Letters
Advanced Wireless Communication Technologies
5.84
article

Movable Antenna Empowered Downlink NOMA Systems: Power Allocation and Antenna Position Optimization

Yufeng Zhou, Qingqing Wu, Nan Cheng, Xusheng Zhu, Wen Chen
article en
28 citations

Abstract

This letter investigates a novel communication paradigm employing movable antennas (MAs) within a multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink framework, where users are equipped with MAs. Initially, leveraging the far-field response, we delineate the channel characteristics concerning both the power allocation coefficient and positions of MAs. Subsequently, we endeavor to maximize the channel capacity by jointly optimizing power allocation and antenna positions. To tackle the resultant non-concave problem, we propose an alternating optimization (AO) scheme underpinned by successive convex approximation (SCA) to converge towards a stationary point. Through numerical simulations, our findings substantiate the superiority of the MA-assisted NOMA system over both orthogonal multiple access (OMA) and conventional NOMA configurations in terms of average sum rate and outage probability.

IEEE Wireless Communications LettersVol. 13(10)
Xidian University (CN), Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 3%
Advanced Wireless Communication Technologies
5.84
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