Customized Slicing for 6G: Enforcing Artificial Intelligence on Resource Management
نویسندگان
چکیده
Next generation wireless networks are expected to support diverse vertical industries and offer countless emerging use cases. To satisfy stringent requirements of diversified services, network slicing is developed, which enables service-oriented resource allocation by tailoring the infrastructure into multiple logical networks. However, there still some challenges in cross-domain multi-dimensional management for end-to-end (E2E) slices under dynamic uncertain environment. Trading off revenue cost while guaranteeing service quality significant tenants. Therefore, this article introduces a hierarchical framework, utilizing deep reinforcement learning admission control requests from different tenants adjustment within admitted each tenant. In particular, we first discuss customized 6G. Second, motivation background presented explain why artificial intelligence (AI) applied customization multi-tenant slicing. Third, E2E decomposed two problems, decision based on slice-level feedback, real-time slice adaption aimed at avoiding degradation. Simulation results demonstrate effectiveness AI-based Finally, several that need be addressed practical implementation investigated.
منابع مشابه
Artificial Intelligence for Communications Resource Management
This paper describes the application of artificial intelligence techniques for design and subsequent use in monitoring and control of communications networks. We describe the development of a knowledge base which provides a model of the communications network during the network design process. We then describe utilization of this knowledge base using various artificial intelligence techniques I...
متن کاملArtificial Intelligence and Decision Support in Natural Resource Management
Making good decisions for natural resource management has become increasingly difficult. Forest managers have too much information, too many decisions to make, and too little time to do any of it. In addition, the objectives are changing and the diversity of needs that must be met is growing. Computer decision aids can help sort and process information and expand our ability to make good decisi...
متن کاملArtificial Intelligence Tools in Health Information Management
Application of ICT in health (eHealth) has become an integral part of modern healthcare systems. Electronic health information management has proven useful in improving quality of health care, reducing costs and facilitating health research. However, the increasing complexity of healthcare and the growing demand for high quality healthcare delivery has created a need for eHealth systems with t...
متن کاملArtificial Intelligence for Artificial Artificial Intelligence
Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Network
سال: 2021
ISSN: ['0890-8044', '1558-156X']
DOI: https://doi.org/10.1109/mnet.011.2000644