Reinforcement Learning Based Resource Management for Network Slicing
نویسندگان
چکیده
منابع مشابه
Multi-agent Reinforcement Learning in Network Management
This paper outlines research in progress intended to contribute to the autonomous management of networks, allowing policies to be dynamically adjusted and aligned to application directives according to the available resources. Many existing management approaches require static a priori policy deployment but our proposal goes one step further modifying initially deployed policies by learning fro...
متن کاملUsing Reinforcement Learning for Proactive Network Fault Management
For high-speed networks, it is important that fault management be proactive–i.e., detect, diagnose, and mitigate problems before they result in severe degradation of network performance. Proactive fault management depends on monitoring the network to obtain the data on which to base manager decisions. However, monitoring introduces additional overhead that may itself degrade network performance...
متن کاملCognitive Network Management with Reinforcement Learning for Wireless Mesh Networks
We present a framework of cognitive network management by means of an autonomic reconfiguration scheme. We propose a network architecture that enables intelligent services to meet QoS requirements, by adding autonomous intelligence, based on reinforcement learning, to the network management agents. The management system is shown to be better able to reconfigure its policy strategy around areas ...
متن کاملDistributed resource management in wireless sensor networks using reinforcement learning
In wireless sensor networks (WSNs), resourceconstrained nodes are expected to operate in highly dynamic and often unattended environments. Hence, support for intelligent, autonomous, adaptive and distributed resource management is an essential ingredient of a middleware solution for developing scalable and dynamic WSN applications. In this article, we present a resource management framework bas...
متن کاملRadio Access Network Resource Slicing for Flexible Service Execution
Network slicing is a key enabler for the serviceoriented 5G vision, that aims to satisfy various per-service requirements. Unlike core network slicing, radio access network (RAN) slicing is still at its infancy, with several works just starting to investigate the challenges and potentials to enable a mutli-tenant, multi-service RAN. One of the major challenges in RAN slicing is to provide diffe...
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: Applied Sciences
سال: 2019
ISSN: 2076-3417
DOI: 10.3390/app9112361