Relative Rate Reduction Based Control with Adjustable Congestion Level
Peter Haga, Ferenc Toth, Istvan Csabai, Gabor Vattay

TL;DR
This paper introduces a novel congestion control method using Relative Rate Reduction (RRR) to improve bandwidth utilization, fairness, and reduce jitter by replacing packet loss signals with a continuous rate-based measure.
Contribution
It proposes RRR as an accurate, continuous congestion measure and demonstrates its effectiveness in achieving optimal utilization and fairness through adjustable feedback functions.
Findings
RRR provides a stable congestion measure compared to packet loss.
Adjustable feedback functions enable tuning of congestion levels.
Testbed experiments show improved bandwidth utilization and fairness.
Abstract
In Future Internet it is possible to change elements of congestion control in order to eliminate jitter and batch loss caused by the current control mechanisms based on packet loss events. We investigate the fundamental problem of adjusting sending rates to achieve optimal utilization of highly variable bandwidth of a network path using accurate packet rate information. This is done by continuously controlling the sending rate with a function of the measured packet rate at the receiver. We propose the relative loss of packet rate between the sender and the receiver (Relative Rate Reduction, RRR) as a new accurate and continuous measure of congestion of a network path, replacing the erratically fluctuating packet loss. We demonstrate that with choosing various RRR based feedback functions the optimum is reached with adjustable congestion level. The proposed method guarantees fair…
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Taxonomy
TopicsNetwork Traffic and Congestion Control · Advanced Wireless Network Optimization · Software-Defined Networks and 5G
