Adaptive Anti-packet Loss Strategy for Real-Time Video Streaming

In real-time video transmission, Automatic Repeat reQuest (ARQ) and Forward Error Correction (FEC) are often used to combat packet loss in wireless networks, but different strategies address different network environments. For example, FEC has low latency but takes up extra bandwidth; ARQ takes up less bandwidth but has high latency and is suitable for networks with low Round-Trip Time (RTT) in ultra-low latency.requirements In ultra-low latency video transmission, traditional fixed-mode-based strategies are not applicable and lack consideration of resource utilization. This paper proposes an adaptive anti-packet loss strategy for real-time video streaming(RV-ALS). The anti-packet loss strategy is adaptively adjusted according to the current network state, the feedback packet loss rate, and service traffic at the receiver. Firstly, a delay constraint model for the RV-ALS is developed to derive the number of retransmissions under the target delay. Secondly, we adjust the strategy according to the variable network state to ensure that the real-time video transmission is high quality and does not consume additional bandwidth and resources. Finally, we implement the proposed RV-ALS strategy on a testbed built on the ultra-low latency transmission protocol SRT. The experimental results show that, compared with existing anti-packet loss strategies, this strategy can meet the delay constraint with a lower packet loss rate than traditional anti-packet loss strategies, and the video quality is optimal. In particular, the RV-ALS strategy can reduce the number of redundant packets by nearly half compared to the HARQ strategy in the actual testbed.