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20202022
most citedLearning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing

1 citations · 1 across the 4 of their papers we have counts for

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eess.SY2021★ 1 cited

Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing

Hao Zhou, Melike Erol-Kantarci, Vincent Poor

Network slicing is a critical technique for 5G communications that covers radio access network (RAN), edge, transport and core slicing.The evolving network architecture requires th…

cs.CL2021

MTG: A Benchmark Suite for Multilingual Text Generation

Yiran Chen, Zhenqiao Song, Xianze Wu +5

We introduce MTG, a new benchmark suite for training and evaluating multilingual text generation. It is the first-proposed multilingual multiway text generation dataset with the la…