most citedNear-Real-Time Resource Slicing for QoS Optimization in 5G O-RAN using Deep Reinforcement Learning

9 citations · 9 across the 8 of their papers we have counts for

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eess.SY2026

EExApp: GNN-Based Reinforcement Learning for Radio Unit Energy Optimization in 5G O-RAN

Jie Lu, Peihao Yan, Huacheng Zeng

With over 3.5 million 5G base stations deployed globally, their collective energy consumption (projected to exceed 131 TWh annually) raises significant concerns over both operation…

eess.SY2025★ 9 cited

Near-Real-Time Resource Slicing for QoS Optimization in 5G O-RAN using Deep Reinforcement Learning

Peihao Yan, Jie Lu, Huacheng Zeng +1

Open-Radio Access Network (O-RAN) has become an important paradigm for 5G and beyond radio access networks. This paper presents an xApp called xSlice for the Near-Real-Time (Near-R…