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Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN
[article]
2022
arXiv
pre-print
The next-generation wireless networks are required to satisfy a variety of services and criteria concurrently. To address upcoming strict criteria, a new open radio access network (O-RAN) with distinguishing features such as flexible design, disaggregated virtual and programmable components, and intelligent closed-loop control was developed. O-RAN slicing is being investigated as a critical strategy for ensuring network quality of service (QoS) in the face of changing circumstances. However,
arXiv:2208.14394v2
fatcat:stwo46rjyzff3lz2eccceaiowe