Large-Aperture Metamaterial Lens Antenna for Multi-Layer MIMO Transmission for 6G

Lee, Jae-Hyun; Kim, Hogyeom; Oh, Jungsuek

doi:10.1109/access.2022.3150037

Cited by 18 publications

(9 citation statements)

References 35 publications

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“…The transmission and reception parameters have been chosen according to the frequencies used and cell type [49], considering new generation antennas [50]. The UEs parameterisations have been obtained from [51]. A summary of the selected parameters is provided in Table 5.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Chained Orchestrator Algorithm for RAN-Slicing Resource Management: A Contribution to Ultra-Reliable 6G Communications

et al. 2022

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The exponentially growing trend of Internet-connected devices and the development of new applications have led to an increase in demands and data rates flowing over cellular networks. If this continues to have the same tendency, the classification of 5G services must evolve to encompass emerging communications. The advent of the 6G Communications concept takes this into account and raises a new classification of services. In addition, an increase in network specifications was established. To meet these new requirements, enabling technologies are used to augment and manage Radio Access Network (RAN) resources. One of the most important mechanisms is the logical segmentation of the RAN, i.e. RAN-Slicing. In this study, we explored the problem of resource allocation in a RAN-Slicing environment for 6G ecosystems in depth, with a focus on network reliability. We also propose a chained orchestrator algorithm for dynamic resource management that includes estimation techniques, inter-slice resource sharing and intra-slice resource assignment. These mechanisms are applied to new types of services in the future generation of cellular networks to improve the network latency, capacity and reliability. The numerical results show a reduction in blocked connections of 38.46% for eURLLC type services, 21.87% for feMBB services, 12.5% for umMTC, 11.86% for ELDP and 11.76% for LDHMC.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Chained Orchestrator Algorithm for RAN-Slicing Resource Management: A Contribution to Ultra-Reliable 6G Communications

et al. 2022

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“…where ⃗ E(⃗ r) is the radiated field at any observation point ⃗ r, and ⃗ A(⃗ r) is the magnetic vector potential which is determined by the Green's function G(⃗ r, ⃗ r ′ ) and the current ⃗ J( ⃗ r ′ ) at the source point ⃗ r ′ . Furthermore, the integral equations in (6) are rewritten as a matrix-vector equation using the method of moments [19], [39], which is given by…”

Section: Electromagnetic Radiation Model Based On Equivalent Sourcementioning

confidence: 99%

Model-Driven Compressive Spherical Array Sampling of Base-Station-Antenna Near Field Using Accelerated Pseudo-Skeleton Tensor Approximation

Sun¹,

Wu²,

Zhang³

et al. 2023

Preprint

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<p>Spherical array sampling plays an important role in obtaining near-field samples (NFSs) of base-station antennas for wireless internet of things performance analysis and optimization. Due to the large sampling area that a semicircular array of probes (SAP) has to cover, spherical array sampling is often time-consuming. In order to reduce sampling time, this paper proposes a model-driven compressive spherical array sampling technique based on pseudo-skeleton tensor approximation. In the proposed method, the Huygens’ principle and the method of moments are applied to construct a mapping tensor firstly, which relates the vector consisting of Huygens’ equivalent source samples with the matrix constituted by spherical near-field samples. Then by analyzing the physical meaning of the mapping tensor, it is revealed that skeleton sampling positions of SAP could be obtained by searching skeleton slices of the mapping tensor. The skeletonization process provides the relationship between NFSs in skeleton and non-skeleton sampling positions. This means NFSs in non-skeleton sampling positions can be computed from those in skeleton sampling positions, and the sampling effort is thus reduced. Moreover, in order to efficiently search skeleton slices of the mapping tensor, a fast ordered-subset selection algorithm is developed. Numerical experiments show that the proposed sampling method can reduce the number of samples by 50%, and the proposed fast algorithm is 22 times faster than traditional algorithms from the perspective of computation efficiency. Since the proposed sampling method is model-driven, it is independent of sampling data, which makes the method attractive to multi-beam multiple-input multiple-output (MIMO) antennas.</p>

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“…At the same time, due to the large scale of deployment, there will be high hardware costs, power usage and complicated designs [ 98 ]. To fulfill the requirement, upcoming communication systems (6G) are moving towards the higher frequency bands, such as the terahertz (THz) and millimeter-wave bands [ 99 , 100 ]. The internet of nano-things, health monitoring systems, entertainment services, military and ultra-high-speed on-chip communications are some of the significant uses of THz band wireless communication [ 97 , 100 ].…”

Section: Mimo Characteristics For 6g Technologymentioning

confidence: 99%

MIMO Antennas: Design Approaches, Techniques and Applications

Sharma

Tiwari²,

Singh

et al. 2022

Sensors

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The excessive use of digital platforms with rapidly increasing users in the wireless domain enforces communication systems to provide information with high data rates, high reliability and strong transmission connection quality. Wireless systems with single antenna elements are not able to accomplish the desired needs. Therefore, multiple-input multiple-output (MIMO) antennas are getting more attention in modern high-speed communication systems and play an essential part in the current generation of wireless technology. However, along with their ability to significantly increase channel capacity, it is a challenge to achieve an optimal isolation in a compact size for fifth-generation (5G) terminals. Portable devices, automobiles, handheld gadgets, smart phones, wireless sensors, radio frequency identification and other applications use MIMO antenna systems. In this review paper, the fundamentals of MIMO antennas, the performance parameters of MIMO antennas, and different design approaches and methodologies are discussed to realize the three most commonly used MIMO antennas, i.e., ultra-wideband (UWB), dual-band and circularly polarized antennas. The recent MIMO antenna design approaches with UWB, dual band and circularly polarized characteristics are compared in terms of their isolation techniques, gain, efficiency, envelope correlation coefficient (ECC) and channel capacity loss (CCL). This paper is very helpful to design suitable MIMO antennas applicable in UWB systems, satellite communication systems, GSM, Bluetooth, WiMAX, WLAN and many more. The issues with MIMO antenna systems in the indoor environment along with possible solutions to improve their performance are discussed. The paper also focuses on the applications of MIMO characteristics for future sixth-generation (6G) technology.

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Large-Aperture Metamaterial Lens Antenna for Multi-Layer MIMO Transmission for 6G

Cited by 18 publications

References 35 publications

Chained Orchestrator Algorithm for RAN-Slicing Resource Management: A Contribution to Ultra-Reliable 6G Communications

Chained Orchestrator Algorithm for RAN-Slicing Resource Management: A Contribution to Ultra-Reliable 6G Communications

Model-Driven Compressive Spherical Array Sampling of Base-Station-Antenna Near Field Using Accelerated Pseudo-Skeleton Tensor Approximation

MIMO Antennas: Design Approaches, Techniques and Applications

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