Congestion Control using FEC for Conversational Multimedia Communication
This addresses congestion control for real-time multimedia communication, but it is incremental as it builds on existing methods with a hybrid approach.
The paper tackles congestion control for conversational multimedia by proposing a rate adaptation algorithm that uses FEC-encoded redundant packets to probe bandwidth and recover lost packets, achieving competitive performance in simulations and real-world tests.
In this paper, we propose a new rate control algorithm for conversational multimedia flows. In our approach, along with Real-time Transport Protocol (RTP) media packets, we propose sending redundant packets to probe for available bandwidth. These redundant packets are Forward Error Correction (FEC) encoded RTP packets. A straightforward interpretation is that if no losses occur, the sender can increase the sending rate to include the FEC bit rate, and in the case of losses due to congestion the redundant packets help in recovering the lost packets. We also show that by varying the FEC bit rate, the sender is able to conservatively or aggressively probe for available bandwidth. We evaluate our FEC-based Rate Adaptation (FBRA) algorithm in a network simulator and in the real-world and compare it to other congestion control algorithms.