On Element Selection in STAR-RIS for NOMA Transmission

Sheng, Bin

doi:10.1155/2022/1335829

Cited by 3 publications

(2 citation statements)

References 20 publications

(34 reference statements)

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“…In next-generation technology, Non-orthogonal Multiple Access (NOMA) allocates different power to known nodes (a node whose own position is known) and target nodes which have different residual energy in WSNs, saving the known node energy consumption problem by using the Successive Interference Cancellation (SIC) technique. Therefore, this technique can be extended to be used in next-generation networks for larger-scale scenarios [2]. Localization information is one of the basic elements of sensor network monitoring data and in many cases is the basis of the application.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional DV-Hop Localization Algorithm Based on Hop Size Correction and Improved Sparrow Search

Gou

et al. 2022

Wireless Communications and Mobile Computing

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Acquiring precise localization information of sensor nodes is very important in wireless sensor networks. The 3DDV-hop localization algorithm suffers from large localization errors and high energy consumption. In order to improve positioning accuracy and reduce energy consumption, a 3DDV-hop node localization algorithm (3D-HCSSA) based on hop size correction and improved sparrow search optimization is proposed. The algorithm redefines the amendment factor and reduces the cumulative error caused by the hop counts in the traditional algorithm. A maximum distance similar link method based on a similar path search is proposed to find the most similar known node path pair from the target node to the noncoplanar known node link and correct the hop size between multihop counts. The sparrow search algorithm is improved by using the k -means clustering and sine cosine search strategy, which solves the problem that the traditional sparrow algorithm is easy to fall into the local optimum, accelerates the convergence speed, corrects the position deviation of the target node, and improves the positioning accuracy. Experiments demonstrate that the 3D-HCSSA algorithm can improve positioning accuracy and reduce energy consumption. Compared with the 3DDV-hop algorithm, 3D-GAIDV-hop algorithm, and HCLSO-3D algorithm, the 3D-HCSSA positioning accuracy is significantly improved.

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Section: Introductionmentioning

confidence: 99%

Three-Dimensional DV-Hop Localization Algorithm Based on Hop Size Correction and Improved Sparrow Search

Gou

et al. 2022

Wireless Communications and Mobile Computing

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“…In contrast to [94]- [97], which focused on dowlink NOMA-based systems, Sheng et al [98] examined STAR-RIS for uplink that enables several users to communicate in a power-domain NOMA environment while sharing the same time-frequency resources. Though users have nearly the same spread power and distance from the AP as they approach the cell boundary, system performance degrades at this point.…”

Section: G Performance Analysismentioning

confidence: 99%

A Survey on STAR-RIS: Use Cases, Recent Advances, and Future Research Challenges

Ahmed

Wahid

Laique

et al. 2023

IEEE Internet Things J.

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The recent development of metasurfaces, which may enable several use cases by modifying the propagation environment, is anticipated to have a substantial effect on the performance of 6G wireless communications. Metasurface elements can produce essentially passive sub-wavelength scattering to enable a smart radio environment. STAR-RIS, which refers to reconfigurable intelligent surfaces (RIS) that can transmit and reflect concurrently (STAR), is gaining popularity. In contrast to the widely studied RIS, which can only reflect the wireless signal and serve users on the same side as the transmitter, the STAR-RIS can both reflect and refract (transmit), enabling 360-degree wireless coverage, thus serving users on both sides of the transmitter. This paper presents a comprehensive review of the STAR-RIS, with a focus on the most recent schemes for diverse use cases in 6G networks, resource allocation, and performance evaluation. We begin by laying the foundation for RIS (passive, active, STAR-RIS), and then discuss the STAR-RIS protocols, advantages, and applications. In addition, we categorize the approaches within the domain of use scenarios, which includes increasing coverage, enhancing physical layer security (PLS), maximizing sum rate, improving energy efficiency (EE), and reducing interference. Next, we will discuss the various strategies for resource allocation and measures for performance evaluation. We aimed to elaborate, compare, and evaluate the literature in terms of setup, channel characteristics, methodology, and objectives. In conclusion, we examine the open research problems and potential future prospects in this field.

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A Survey on STAR-RIS: Use Cases, Recent Advances, and Future Research Challenges

Wahid¹,

Ahmed²,

Laique³

et al. 2023

Preprint

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<p>The recent development of metasurfaces, which may enable several use cases by modifying the propagation environment, is anticipated to have a substantial effect on the performance of 6G wireless communications. Metasurface elements can produce essentially passive sub-wavelength scattering to enable a smart radio environment. STAR-RIS, which refers to reconfigurable intelligent surfaces (RIS) that can transmit and reflect concurrently (STAR), is gaining popularity. In contrast to the widely studied RIS, which can only reflect the wireless signal and serve users on the same side as the transmitter, the STAR-RIS can both reflect and refract (transmit), enabling 360-degree wireless coverage, thus serving users on both sides of the transmitter. This paper presents a comprehensive review of the STAR-RIS, with a focus on the most recent schemes for diverse use cases in 6G networks, resource allocation, and performance evaluation.</p> <p>We begin by laying the foundation for RIS (passive, active, STAR-RIS), and then discuss the STAR-RIS protocols, advantages, and applications. In addition, we categorize the approaches within the domain of use scenarios, which includes increasing coverage, enhancing physical layer security (PLS), maximizing sum rate, improving energy efficiency (EE), and reducing interference. Next, we will discuss the various strategies for resource allocation and measures for performance evaluation. We aimed to elaborate, compare, and evaluate the literature in terms of setup, channel characteristics, methodology, and objectives. In conclusion, we examine the open research problems and potential future prospects in this field.</p>

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On Element Selection in STAR-RIS for NOMA Transmission

Cited by 3 publications

References 20 publications

Three-Dimensional DV-Hop Localization Algorithm Based on Hop Size Correction and Improved Sparrow Search

Three-Dimensional DV-Hop Localization Algorithm Based on Hop Size Correction and Improved Sparrow Search

A Survey on STAR-RIS: Use Cases, Recent Advances, and Future Research Challenges

A Survey on STAR-RIS: Use Cases, Recent Advances, and Future Research Challenges

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