Potential, concepts, and key advances for a ubiquitous adaptive indigenous microengineering and nanoengineering in 6G network

John, Akinribide Adebisi; Thakur, Prabhat; Singh, Ghanshyam

doi:10.1002/dac.5410

Cited by 9 publications

(2 citation statements)

References 120 publications

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“…Due to its capacity to function over a wide bandwidth at T-Hz frequencies, VLC is also viewed as a technology that might be able to meet the needs of 6G. The development of micro-and nanotechnology has made it possible for optical wireless data transmission technologies like VLC and others, which have the same potential as Li-Fi in 6G [68].…”

Section: Rf Planning and Optimization In Ai-ran 6gmentioning

confidence: 99%

AI-RAN in 6G Networks: State-of-the-Art and Challenges

Khan,

Schmid

2024

IEEE Open J. Commun. Soc.

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6G is a next-generation cellular communication technology that builds up on existing 5G networks which are currently rolled out worldwide. Through incorporation of artificial intelligence (AI) and machine learning (ML), the core 5G network is advanced into an intelligent 6G network. The 6G Artificial Intelligence Radio Access Network (AI-RAN) is anticipated to offer advanced features like reduced latency, improved bandwidth, data rates and coverage. Furthermore, AI-RAN is expected to support complex use cases such as extreme connectivity, multi-user communications and dynamic spectrum access. This paper provides a detailed survey and thorough assessment of AI-RAN's vision and state-of-the-art challenges. We first present a concise introduction to 6G AI-RAN followed by background information on the current 5G RAN and its challenges that must be overcome to implement 6G AI-RAN. The paper then examines trending research issues in AI-RAN, i.e., challenges related to spectrum allocation, network architecture, and resource management. We discuss the methods to overcome these challenges which include the adoption of advanced machine learning and edge computing technologies to boost the performance of 6G AI-RAN. We conclude by stating open research directions.

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Section: Rf Planning and Optimization In Ai-ran 6gmentioning

confidence: 99%

AI-RAN in 6G Networks: State-of-the-Art and Challenges

Khan,

Schmid

2024

IEEE Open J. Commun. Soc.

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“…Automobile manufacturers consistently try to adopt the latest technological advancements in designing and enhancing automotive vehicles to provide customers with a greater variety of advanced features [1]. Autonomous vehicles (AVs) [2][3][4][5], Intelligent Transport Systems (ITSs) of Vehicles [4,[6][7][8], and connected vehicles (CVs) [7][8][9][10] are a few of the advanced features that use new-generation technologies like the Internet of Things (IOT) [11], in which various "devices" in vehicles, like embedded sensors and output devices that use different types of software and technologies, possess processing capabilities to enable communication for connecting and exchanging data with internal and external devices located across the world using the Internet or other communication networks [11,12]. Such vehicles developed based on the application of IOT technology for interconnections are called the "Internet of Vehicle Things" or "Internet of Vehicles (IOV)" [12,13].…”

Section: Introductionmentioning

confidence: 99%

Cybersecurity in Internet of Medical Vehicles: State-of-the-Art Analysis, Research Challenges and Future Perspectives

Bhukya,

Thakur,

Mudhivarthi

et al. 2023

Sensors

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The “Internet-of-Medical-Vehicles (IOMV)” is one of the special applications of the Internet of Things resulting from combining connected healthcare and connected vehicles. As the IOMV communicates with a variety of networks along its travel path, it incurs various security risks due to sophisticated cyber-attacks. This can endanger the onboard patient’s life. So, it is critical to understand subjects related to “cybersecurity” in the IOMV to develop robust cybersecurity measures. In this paper, the goal is to evaluate recent trends and state-of-the-art publications, gaps, and future outlooks related to this research area. With this aim, a variety of publications between 2016 and 2023 from “Web-of-Science” and “Scopus” databases were analysed. Our analysis revealed that the IOMV is a niche and unexplored research area with few defined standards and frameworks, and there is a great need to implement robust cybersecurity measures. This paper will help researchers to gain a comprehensive idea of this niche research topic, as it presents an analysis of top journals and highly cited papers, their challenges and limitations, the system model and architecture of the IOMV, related applicable standards, potential cyber-attacks, factors causing cybersecurity risks, various artificial intelligence techniques for developing potential countermeasures, the assessment and parameterisation of cybersecurity risks, constraints and challenges, and future outlooks for implementing cybersecurity measures in the IOMV.

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Performance Improvement of NOMA Under Imperfect CSI and Inter‐Network Interference for Future Cellular Networks

Raeisidehkordi,

Bakhshi

2024

Int J Communication

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Future communications networks, including sixth‐generation (6G) and the internet of things (IoT), are expected to support higher capacity, quality of service, and user demands. However, serving a massive number of users in future networks poses the bandwidth limitation challenge. Non‐orthogonal multiple access (NOMA) has been proposed for the future IoT and 6G networks to address the mentioned problem by serving multiple users in one resource block. However, the practical approach for a multi‐cell network is to consider inter‐network interference and imperfect channel state information (CSI), which significantly deteriorates NOMA performance. This paper analyzes NOMA performance in terms of network outage probability, base station (BS) activity detection, and network sum rate under imperfect CSI and the presence of interference. In this regard, it proposes a method to improve the BS activity detection and network sum rate of NOMA networks, which exploits a lower computation complexity compared to similar research in the literature. The analytical and simulation results demonstrate the superiority of the proposed method over conventional NOMA and orthogonal multiple access (OMA) schemes in terms of network sum rate and base station detection activity.

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Potential, concepts, and key advances for a ubiquitous adaptive indigenous microengineering and nanoengineering in 6G network

Cited by 9 publications

References 120 publications

AI-RAN in 6G Networks: State-of-the-Art and Challenges

AI-RAN in 6G Networks: State-of-the-Art and Challenges

Cybersecurity in Internet of Medical Vehicles: State-of-the-Art Analysis, Research Challenges and Future Perspectives

Performance Improvement of NOMA Under Imperfect CSI and Inter‐Network Interference for Future Cellular Networks

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