How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning

How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning

In this paper, reinforcement learning (RL) for network slicing is considered in next generation (NextG) radio access networks, where the base station (gNodeB) allocates resource blocks (RBs) to the requests of user equipments and aims to maximize the total reward of accepted requests over time. Base...

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Bibliographic Details
Main Authors: Yi Shi, Yalin E. Sagduyu, Tugba Erpek, M. Cenk Gursoy
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
NextG security
network slicing
radio access network
reinforcement learning
adversarial machine learning
jamming
Online Access:https://ieeexplore.ieee.org/document/9984930/

Internet

https://ieeexplore.ieee.org/document/9984930/

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