RAN slicing DRL parameters.

<div><p>The open radio access network (O-RAN) architecture facilitates intelligent radio resource management via RAN intelligent controllers (RICs). Deep reinforcement learning (DRL) algorithms are integrated into RICs to address dynamic O-RAN slicing challenges. However, DRL-based O-RAN...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Bosen Zeng (22404042) (author)
مؤلفون آخرون:	Xianhua Niu (22404045) (author)
منشور في:	2025
الموضوعات:	Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified specific layers optimized policy reuse baselines ran slicing suffers ran slicing challenges div >< p unseen slicing tasks deep reinforcement learning ran </ p m2dqn outperforms mtl unseen tasks m2dqn </ two components rapid adaptation propose m2dqn performance degradation method decouples hybrid framework fast adaptation efficient fine effective balance capture cross address dynamic
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RAN slicing DRL parameters.

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