Energy-efficient non-orthogonal multiple access for wireless communication system

Darus, Muhamad Firdaus; Idris, Fakrulradzi; Hashim, Norlezah

doi:10.11591/ijece.v13i2.pp1654-1668

Cited by 2 publications

(1 citation statement)

References 130 publications

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“…technique has received a lot of attention in recent years as a multiple-access technique that can provide massive connectivity, low latency, and high spectral performance [40], [41]. Different users' signals are broadcast in the same time slot and over the same frequency range in the NOMA technique, as opposed to the conventional OMA technique, which assigns orthogonal sub-channels to different users' signals [42].…”

Section: Non-orthogonal Multiple Accessmentioning

confidence: 99%

UAV-enabled communications using NOMA for 5G and beyond: research challenges and opportunities

Kharil,

Johal,

Idris

et al. 2023

IJEECS

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Future wireless networks are expected to provide ubiquitous connectivity to a wide range of devices with varying traffic patterns, wherever and whenever it is required. Unmanned aerial vehicles (UAVs) are also considered a potential technique for accommodating massive connections and providing seamless coverage. They can be used as flying base stations (BSs) to take advantage of line-of-sight (LoS) connections and effectively support wireless communication coverage and throughput for 5G and beyond. However, the use of highly mobile and energy-constrained UAVs for wireless communications brings plenty of new challenges. 5G wireless networks require non-orthogonal multiple access (NOMA) to be able to meet heterogeneous requirements for low latency, high dependability, massive connection, better fairness, and high throughput. This paper presents an overview of NOMA-based UAV enabled communications by introducing the background of UAV communication and NOMA schemes. Power allocation schemes are also explored as they are critical controlling mechanisms for performance optimization of NOMA-UAV systems. We also categorize UAV-enabled communication applications for usage in both routine professional settings and emergency scenarios. Finally, we address several open research questions that need to be solved for NOMA, as well as new opportunities and future research trends to be exploited.

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Section: Non-orthogonal Multiple Accessmentioning

confidence: 99%

UAV-enabled communications using NOMA for 5G and beyond: research challenges and opportunities

Kharil,

Johal,

Idris

et al. 2023

IJEECS

View full text Add to dashboard Cite

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Artificial Intelligence-based Fair Allocation in NOMA Technique: A Review

Kirtay,

Yildiz,

Bocekci

2024

SWCC

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Non-Orthogonal Multiple Access (NOMA) is an innovation that has great potential in wireless communication. It permits multiple users to efficiently allot a frequency band by adjusting their power allocations. Nevertheless, attaining fair power allocation in NOMA structures presents complex challenges that require specific models, extensive training data, and addressing issues of generalization. This review aims to explore the applications of Artificial Intelligence (AI) and Deep Learning (DL) methods to tackle the challenges associated with fair power allocation in NOMA systems. The focus is on developing strong AI-DL models and creative optimization methods specifically designed for dynamic environments to improve transparency and interpretability. This study explores a wide range of techniques, including Reinforcement Learning, Convolutional Neural Networks (CNN) for power allocation, Generative Adversarial Networks, Deep Reinforcement Learning, and Transfer Learning. The goal is to enhance various aspects, such as power allocation, user coupling, scheduling strategies, interference cancellation, user mobility, security, and deeplearning-based NOMA. Despite the difficulties, impartial power allocation algorithms based on AI and DL show promise in improving user performance and promoting fair power distribution in NOMA systems. This study emphasizes the significance of continuous research efforts to overcome current obstacles, enhance efficiency, and strengthen the dependability of wireless communication systems. This highlights the significance of NOMA as an advanced innovation for upcoming wireless generations that go beyond 5G. Future areas of study involve investigating federated learning and novel techniques for gathering data and utilizing interpretable AI-DL models to address existing constraints. Overall, this review highlights the potential of AI and DL techniques in achieving fair power distribution in NOMA systems. However, further investigation is crucial to addressing obstacles and fully exploring the capabilities of NOMA technology

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Energy-efficient non-orthogonal multiple access for wireless communication system

Cited by 2 publications

References 130 publications

UAV-enabled communications using NOMA for 5G and beyond: research challenges and opportunities

UAV-enabled communications using NOMA for 5G and beyond: research challenges and opportunities

Artificial Intelligence-based Fair Allocation in NOMA Technique: A Review

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