6G Frontiers

Alwis, Chamitha de; Pham, Quoc‐Viet; Liyanage, Madhusanka

doi:10.1002/9781119862321

Cited by 14 publications

(9 citation statements)

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“…The convergence of AI and the 6G revolution is poised to revolutionize health monitoring applications by enabling real-time data processing, remote monitoring, personalized healthcare, predictive analytics, healthcare automation, and enhanced diagnosis and treatment [83]. The ultra-low latency and high data transfer speeds offered by 6G networks will facilitate the seamless transmission and analysis of health data, allowing for timely interventions and personalized healthcare recommendations based on individualized data insights.…”

Section: Healthcare Monitoringmentioning

confidence: 99%

6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges

Chataut,

Nankya,

Akl

2024

Sensors

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In the rapidly evolving landscape of wireless communication, each successive generation of networks has achieved significant technological leaps, profoundly transforming the way we connect and interact. From the analog simplicity of 1G to the digital prowess of 5G, the journey of mobile networks has been marked by constant innovation and escalating demands for faster, more reliable, and more efficient communication systems. As 5G becomes a global reality, laying the foundation for an interconnected world, the quest for even more advanced networks leads us to the threshold of the sixth-generation (6G) era. This paper presents a hierarchical exploration of 6G networks, poised at the forefront of the next revolution in wireless technology. This study delves into the technological advancements that underpin the need for 6G, examining its key features, benefits, and key enabling technologies. We dissect the intricacies of cutting-edge innovations like terahertz communication, ultra-massive MIMO, artificial intelligence (AI), machine learning (ML), quantum communication, and reconfigurable intelligent surfaces. Through a meticulous analysis, we evaluate the strengths, weaknesses, and state-of-the-art research in these areas, offering a wider view of the current progress and potential applications of 6G networks. Central to our discussion is the transformative role of AI in shaping the future of 6G networks. By integrating AI and ML, 6G networks are expected to offer unprecedented capabilities, from enhanced mobile broadband to groundbreaking applications in areas like smart cities and autonomous systems. This integration heralds a new era of intelligent, self-optimizing networks that promise to redefine the parameters of connectivity and digital interaction. We also address critical challenges in the deployment of 6G, from technological hurdles to regulatory concerns, providing a holistic assessment of potential barriers. By highlighting the interplay between 6G and AI technologies, this study maps out the current landscape and lights the path forward in this rapidly evolving domain. This paper aims to be a cornerstone resource, providing essential insights, addressing unresolved research questions, and stimulating further investigation into the multifaceted realm of 6G networks. By highlighting the synergy between 6G and AI technologies, we aim to illuminate the path forward in this rapidly evolving field.

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Section: Healthcare Monitoringmentioning

confidence: 99%

6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges

Chataut,

Nankya,

Akl

2024

Sensors

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“…The range of communication scenarios in such a network is virtually boundless, making it impractical to address them effectively with ''static'' software solutions. Therefore, the concept of softwarization emerges as a solution [66]. This concept, along with virtualization, distributed intelligence, and ultra-densification, is already available in 5G networks [66].…”

Section: Softwarizationmentioning

confidence: 99%

“…Therefore, the concept of softwarization emerges as a solution [66]. This concept, along with virtualization, distributed intelligence, and ultra-densification, is already available in 5G networks [66]. Softwarization combines SDN, network function virtualiza-tion (NFV), and cloud computing (CC) principles.…”

Section: Softwarizationmentioning

confidence: 99%

“…The SDN, NFV, and CC principles enable high flexibility, efficiency, automatic network management, and on-demand resource provisioning [68]. A software-based high-level architecture is proposed in [66] where ML is performed by multi-armed bandit (MAB) algorithms. This architecture is structured into three layers: the data plane, the control plane, and the application plane [66].…”

Section: Softwarizationmentioning

confidence: 99%

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Analog and Mixed-signal Integrated Circuits of 5Gand 6G Data Communication

2024

IJFMR

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The complex analog and mixed-signal transceivers where overall system performance is often limited by the weakest performing subsystem. While analog and mixed-signal integrated circuits have significantly advanced, the future of 5G and 6G transceiver design could be accelerated by including artificial intelligence. In this combination, analog integrated circuit design and operation would harness machine learning to identify, characterize, and act upon variations and anomalies in system performance. Focusing on 5G and 6G, this paper investigates solutions for a unified intelligent integrated transceiver: a conceptual combination of a traditional analog subsystem, a supporting digital subsystem that enables artificial intelligence, and dedicated feedback circuitry or sensors that monitor performance, efficiency, or reliability. Active and passive components and propagation channels are reviewed based on their merits of introducing intelligence. Holistically and for broader applicability, the paper conceptualizes and coins the notion of an ‘‘intelligent integrated system (IIS)’’, which brings forward a novel unified vision and approach toward context-aware subsystems that dynamically interact with ambient and varying operating conditions. To demonstrate viability, the paper concatenates a select set of measurement results.

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“…To address this issue, ultrahighspeed and high-capacity wireless communications will be required. [3][4][5] The 6th generation mobile communication system (6 G), which is expected to be realized in the future, requires a communication speed of over 100 Gbit/s, which is 10 times higher than 5 G. 6) One of the methods for meeting this requirement is the use of terahertz waves (0.1 to 10 THz) as a carrier wave for wireless communications. Terahertz waves have a higher frequency than conventional millimeter waves and microwaves, and can achieve communication speeds in excess of 100 Gbit/s by utilizing a wide bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Terahertz wave beam control using optical phased array and array photomixer

Doi,

Li,

Che

et al. 2024

Jpn. J. Appl. Phys.

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Terahertz waves technology is attracted attention as a means of achieving ultrahigh-speed, high-capacity wireless communications. However, terahertz waves have high propagation loss due to their high frequency and high directivity. Therefore, terahertz waves intensity enhancement and beam steering are required. In this study, we discussed beam control of the terahertz wave generated by arrayed photomixers using an optical phased array (OPA). It was revealed that the terahertz beam steering by the OPA can be controlled with an error of less than 10°. Furthermore, we developed an automatic terahertz beam deflection system based on a hill-climbing algorithm and feedback control to improve the beam steering accuracy.

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6G Frontiers

Cited by 14 publications

References 0 publications

6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges

6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges

Analog and Mixed-signal Integrated Circuits of 5Gand 6G Data Communication

Terahertz wave beam control using optical phased array and array photomixer

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