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Peixuan Song

dblp:359/3575 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities
social network
0.912025
Manipulate holistic cooperation of population game: optimal induction strategy for a few irrational agents in social networks · Sci. China Inf. Sci. 2025
Algorithmic game theory and mechanism design › evolutionary game theory
population game
0.912025
Manipulate holistic cooperation of population game: optimal induction strategy for a few irrational agents in social networks · Sci. China Inf. Sci. 2025

Methods — techniques the papers use, named apart from their topics

optimal control · 1.7
YearPublicationVenuePosition
2025 Manipulate holistic cooperation of population game: optimal induction strategy for a few irrational agents in social networks
Zhen Wang 0004, Peixuan Song, Da-Tian Peng, Dengxiu Yu
Sci. China Inf. Sci.2
2025 Unlocking the power of 4G/5G mobile networks: An empirical dive into quality and energy efficiency in YouTube Edge services
abstract
The advancements in 5G mobile networks and Edge computing offer great potential for services like augmented reality and Cloud gaming, thanks to their low latency and high bandwidth capabilities. However, the practical limitations of achieving optimal latency on real applications remain uncertain. This paper investigates the latency, bandwidth, and energy consumption of 5G Networks and leverages YouTube Edge service as the practical use case. We analyze how latency, bandwidth, and energy consumption differ between 4G LTE and 5G networks and how the location of YouTube Edge servers impacts these metrics. Surprisingly, our observations show that the 5G ecosystems have average latency hikes of up to 2 × , demonstrating that they are far from achieving their proclaimed promises. Our research study reveals over 10 significant observations and implications, indicating that the primary constraints on 4G/LTE and 5G capabilities are the ecosystem and energy efficiency of mobile devices’ downstream data. Moreover, our study demonstrates that to unlock the potential of 5G and its applications fully, it is crucial to prioritize efforts to improve the 5G ecosystem and introduce better methods and techniques to enhance energy efficiency.
Peixuan Song, Ahmed M. Abdelmoniem, Lev Mukhanov
Comput. Networks1