Key Technologies for the Advent of the 6G

Monserrat, José F.; Martín‐Sacristán, David; Bouchmal, Faiza; Carrasco, Óscar Liébana; Valgas, Josue Flores de; Cardona, Narcís

doi:10.1109/wcncw48565.2020.9124725

Cited by 16 publications

(5 citation statements)

References 10 publications

(12 reference statements)

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“…For instance, in 3D holography, the Avatar characterizes the object to be teleported, build, and projected in real time. [198]. Data Orientation It is a concept wherein the network is centered on data, content, or information.…”

Section: Avatarsmentioning

confidence: 99%

A Detailed Relevance Analysis of Enabling Technologies for 6G Architectures

Pivoto,

Rezende,

Facina

et al. 2023

IEEE Access

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As society evolves as a whole, new demands arise with increasingly demanding prerequisites, consequently requiring more significant effort to be met. Such demands cover emerging applications, such as remote surgeries in Smart Health use cases, whose latency and reliability network requirements cannot be met by current communication systems; or simply improving current applications with more challenging requirements to be achieved, such as increasing the transmission rate in a mobile network, offering Quality of Service (QoS), and consequently, better user experience. Therefore, enabling technologies must be chosen to design an appropriate 6G architecture to address such demands. However, the explosion of emerging applications focused on different scopes and requirements to be met makes choosing these enabling technologies extremely complex and unpredictable. Thus, this article aims to create a methodology for analyzing the relevance of enabling technologies and use it to design an optimal architecture capable of meeting the 6G demands. For this purpose, two methods named as Average (AVG) and Analytic Hierarchy Process (AHP) have been selected, whose objective is to determine the relevance of an enabler for the 6G architecture, taking into account different degrees of influencing variables for this analysis, such as adherence to a certain architectural model; popularity in the research area; degree of innovation; synergy with other enablers; and support for requirements. Each of these methods presents a particular result. In the case of the AVG method, the criteria and variables are evaluated independently, and the arithmetic mean is employed to combine the evaluations into a single measure of suitability. In contrast, the AHP method considers the relative importance of criteria and variables in order to classify an optimal set of enabling technologies capable of fulfilling the key roles to be performed by a 6G architecture, and consequently meeting the main 6G demands. Our evaluation provides a unique perspective on 6G enablers, identifying issues and fostering research for future mobile architectures. The results obtained also provide researchers with the necessary information to stay updated on emerging enabling technologies and their suitability for designing new optimized 6G architectures. INDEX TERMS 6G architectures; 6G enabling technologies; 6G requirements; 6G use cases, AHP, relevance analysis. I. INTRODUCTION S INCE the introduction of 5G, the mobile network architecture has undergone profound transformations that range from the separation of the control and data planes and the adoption of a service-based architecture in the Core Network (CN) [1] to the disaggregation of the Radio

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Section: Avatarsmentioning

confidence: 99%

A Detailed Relevance Analysis of Enabling Technologies for 6G Architectures

Pivoto,

Rezende,

Facina

et al. 2023

IEEE Access

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“…However, the research community acknowledges that the rapid proliferation of applications, including highdefinition video streaming, Augmented Reality (AR), VR, and the IoT, has revealed the limitations of the existing 5G communication system in meeting the demands of these diverse and resource-intensive operations. Therefore, despite the implementation of 5G technology, researchers are envisioning a crucial necessity for technological advancement till 2030 to deal with the future massive data demands [7]- [10].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey on Revolutionizing Connectivity Through Artificial Intelligence-Enabled Digital Twin Network in 6G

Sheraz,

Chuah,

Lee

et al. 2024

IEEE Access

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The deployment of 5G has exposed capacity constraints in realizing the key vision of the Internet of Everything (IoE). Therefore, the researchers are exploring potentials of Digital Twin Network (DTN) in wireless networks. DTN is a novel technology to create virtual replicas of physical environment for testing, optimizing, and managing wireless networks. The integration of Artificial Intelligence (AI) and DTN appears to be a promising approach to address communication systems by providing an efficient environment for testing and improving AI models before deployment in real networks for effective network management, optimal resource allocation, and precise behavior prediction. Therefore, AI-enabled DTN in 6G represents a compelling avenue to address multifaceted challenges faced by wireless networks. In this comprehensive work, we offer a holistic survey that delves into the state-of-the-art approaches for AIenabled DTNs in 6G. Firstly, we discuss the evolution of wireless networks and concept of AI-enabled DTN in 6G. Secondly, we discuss the role of AI-enabled DTN in 6G and driving advancements in fundamental components of 6G including resource allocation, caching, data offloading, and data security. Thirdly, we conduct a detailed discussion on key enabling technologies for realizing the capabilities of AI-enabled DTN in 6G. Fourthly, several applications of AI-enabled DTN in 6G are discussed for the practical relevance and significance in various industries such as smart cities, healthcare, and transportation etc. Finally, we provide lessons learned and highlight existing challenges and research directions to embark on further research efforts in the realm of AI-enabled DTN in 6G.INDEX TERMS Digital twin networks (DTNs), 6G, artificial intelligence (AI), caching, resource allocation, data offloading, security, enabling technologies, unmanned aerial vehicle (UAV), mmWave, THz.

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“…A majority of the current 6G related studies attempt to identify the future applications and their key requirements [1,. Moreover, potential service types and application groups for 6G are analyzed in [1,[4][5][6][7][8][9][10][11][12][13][14][24][25][26][27][28] together with the prospective key requirements of 6G networks. Several works are focused on the key enabler technologies and concepts under 6G studies in detail [1,3] or in general [4][5][6][7][8][9][10][11][12][13][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, potential service types and application groups for 6G are analyzed in [1,[4][5][6][7][8][9][10][11][12][13][14][24][25][26][27][28] together with the prospective key requirements of 6G networks. Several works are focused on the key enabler technologies and concepts under 6G studies in detail [1,3] or in general [4][5][6][7][8][9][10][11][12][13][15][16][17][18][19][20][21]. Furthermore, speci ic technologies and concepts are also being pushed for 6G as described in .…”

Section: Introductionmentioning

confidence: 99%

6G vision: An ultra-flexible perspective

Arslan¹,

Doğan-Tusha²,

Yazar³

2020

ITU J-FET

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The upcoming sixth generation (6G) communications systems are expected to support an unprecedented variety of applications, pervading every aspect of human life. It is clearly not possible to fulfill the service requirements without actualizing a plethora of flexible options pertaining to the key enabler technologies themselves. At that point, this work presents an overview of the potential 6G key enablers from the flexibility perspective, categorizes them, and provides a general framework to incorporate them in the future networks. Furthermore, the role of artificial intelligence and integrated sensing and communications as key enablers of the presented framework is also discussed.

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Key Technologies for the Advent of the 6G

Cited by 16 publications

References 10 publications

A Detailed Relevance Analysis of Enabling Technologies for 6G Architectures

A Detailed Relevance Analysis of Enabling Technologies for 6G Architectures

A Comprehensive Survey on Revolutionizing Connectivity Through Artificial Intelligence-Enabled Digital Twin Network in 6G

6G vision: An ultra-flexible perspective

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