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6g - Crossref

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Last Updated: 10 July 2022

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6G Scenarios and Network Design Principles

The development of new communication technologies 6G is in response to the growing need for data over cellular networks. The technological specifications for various applications, such as deep sea and space tourism, collaborative robots, and in holographic telephony, are insufficient for 5G mobile networks, which are often lacking. The new generation communication device that has been used in every ten years raises the quality of service metrics by including new features and services.

Source link: https://doi.org/10.53759/7669/jmc202202013


Towards dependable 6G networks

However, the integration of a slew of technologies, from physical layer to the application layer, as well as multiple applications ranging from entertainment to mission-critical public services, requires further investigation from a dependability point of view. Specific diligence is given federated learning and edge intelligence since intelligence and processing of control functions and elements are at the forefront of future networks, and precise diligence is provided.

Source link: https://doi.org/10.36227/techrxiv.20237358


Towards dependable 6G networks

However, the integration of a slew of technologies, from physical layer to the application layer, and a variety of services ranging from entertainment to mission critical public services, requires investigation from a dependability perspective. Specific intelligence is provided for federated learning and edge intelligence since intelligence and delivery of control functions and elements make the foundation of future networks, specific diligence is given.

Source link: https://doi.org/10.36227/techrxiv.20237358.v1


Multi-Agent Dynamic Resource Allocation in 6G in-X Subnetworks with Limited Sensing Information

We review dynamic resource selection in dense deployments of the new 6G mobile in-X subnetworks in this paper. We've framed resource selection in inXSs as a multi-objective optimization challenge that necessitates maximization of the minimum capacity per inXs while still minimizing overhead from intra-subnetwork signaling. Since inXSs are expected to be self-driving, selection decisions are made by each inXS based on their local knowledge without receiving signals from other inXSs. Based on similar limited data as the MAQL scheme, we further recommend a rule-based algorithm named Q-Heuristics for performing resource selection based on limited data. Even with two-level quantification of the SI, appropriate Q-learning parameters results in rapid convergence of the MAQL procedure, and the new MAQL strategy has significantly higher success and is more flexible to sense and switching delays than the best baseline heuristic.

Source link: https://doi.org/10.3390/s22135062


Concentration-Dependent Emission of Annealed Sol-Gel Layers Incorporated with Rhodamine 19 and 6G as the Route to Tunable High-Temperature Luminescent Materials

The sol-gel technology enables the manufacture of nonlinear optics and photonics from nonlinear optics and photonics by the synthesis of multifunctional ceramic materials. At the same time, a longer heating process at 300 u00b0C revealed a protective function of sol-gel-derived silica for the organic dye; the longer heating did not result in any further significant changes in the dyeu2019s emission, which indicates the preservative role of the sol-gel layers. It has been found that dye-doped sol-gel layers can be used as active parts in photonics platforms, according to the experiments.

Source link: https://doi.org/10.3390/gels8070408


6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework

Because of the unbalanced distribution of medical supplies, especially in rural areas globally, healthcare services traditionally have a deficit in healthcare services. Cognitive data analytics, massive data analysis, and tiny machine learning, which all represent the advancement of cognitive computation, big data analytics, and tiny machine learning can be used to palpate a patient's health status, physiologically and psychologically changing the current healthcare system. A model-driven approach is developed to support the 6GCIoHE system design and development, which adopts different refinement levels in order to accommodate the cognitive healthcare's needs by the interactions of semantic analysis, process control, cognitive intelligence, and knowledge sources, among other aspects.

Source link: https://doi.org/10.3390/asi4030066


6G Enabled Industrial Internet of Everything: Towards a Theoretical Framework

Global research campaigns are now focusing on the sixth generation wireless device as a enabler of Internet of Everything applications. With the dawn of the fifth industrial revolution, IoE is transitioning into industrial Internet of Everything projects, which are both complicated and expected to become a key technology for many industries, providing new opportunities. Future research projects may include research results, knowledge of future research, and applications. The conceptual framework that was developed acknowledges 6GIIoE's top priorities, challenges, and applications.

Source link: https://doi.org/10.3390/asi4010011


6G

This technology will give the policymakers confidence and will also help in lowering the cost of data storage while also providing the data security. As we all know, trust will be a big issue in dealing with finance and other areas, but blockchain will help to regain and maintain the trust factor, as it is a transparent tool that allows the people to verify and track what is going on behind the policies.

Source link: https://doi.org/10.4018/978-1-6684-3804-6.ch014


Wireless Brain-Computer Interface (WBCI) and 6G Technology Security Issues, Safety Mechanisms

This chapter gives a comprehensive overview of WBCI and 6G technology in the context of 6G technology, as well as an outline of AI-based solutions for security and privacy challenges that have arisen out of 6G network deployment to the contexts revolving around WBCIs.

Source link: https://doi.org/10.4018/978-1-6684-3804-6.ch013


Defending IoT Security Infrastructure with the 6G Network, and Blockchain and Intelligent Learning Models for the Future Research Roadmap

The battle for wireless networks' 6G has commenced. The authors present a sample of IoT use cases that are representative of a diverse range of IoT implementations, which is a novel approach to the study. The use cases chosen were representative of the most research-intensive industries that could profit from 6G and its associated technologies. The analysis focuses on the key aspects of the scenarios and how they relate to the main reasons for the next generation of wireless networks.

Source link: https://doi.org/10.4018/978-1-6684-3804-6.ch012

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions