Peixuan Song
Orcid: 0009-0003-5888-3168
According to our database1,
Peixuan Song authored at least 6 papers
between 2023 and 2026.
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Bibliography
2026
Off-policy hierarchical reinforcement learning for collision avoidance via broad learning system.
J. Frankl. Inst., 2026
2025
Unlocking the power of 4G/5G mobile networks: An empirical dive into quality and energy efficiency in YouTube Edge services.
Comput. Networks, 2025
Manipulate holistic cooperation of population game: optimal induction strategy for a few irrational agents in social networks.
Sci. China Inf. Sci., 2025
2024
Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2024
2023
A case study on latency, bandwidth and energy efficiency of mobile 5G and YouTube Edge service in London. Why the 5G ecosystem and energy efficiency matter?
CoRR, 2023