A New Traffic Aggregation Method for Live Video Streaming in Information-Centric Networking
Kai Sakamoto, Yusaku Hayamizu, Masaki Bandai, Miki Yamamoto · 2025
By leveraging a multicast functionality of Information-Centric Networking (ICN), adaptive bitrate (ABR) can achieve higher Quality of Experience (QoE) while reducing network traffic. An ABR initialization method has been proposed for live streaming in ICN to facilitate traffic aggregation by the multicast function. In this method, multicast performance was partially improved, yet there still exists a technical issue on the bitrate selection mismatches due to underlying congestion windows asynchronization. In this paper, we propose a new traffic aggregation method that initializes both ABR bitrate selections and congestion control algorithms to facilitate traffic aggregation by triggering multicast in various conditions. Simulation results revealed that our proposed traffic aggregation scheme increased multicast performance by 54% compared to with the existing method.