TransTraffic: Predicting Network Traffic using Low Resource Data
Chaewon Kang, Jeewoo Yoon, Daejin Choi, Eunil Park, Sangheon Pack, Jinyoung Han · 2022 13th International Conference on Information and Communication Technology Convergence (ICTC) · 2022
In private 5G/6G networks, an adequate and accurate resource management is essential. In this paper, we propose a traffic prediction model, TransTraffic, that utilizes transfer learning for low resource data. Our evaluation demonstrates that leveraging prior knowledge from a similar traffic domain helps predict network traffic for a new domain or service.