Hybrid Congestion Control Mechanisms for Next-Generation Communication Networks
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In the rapidly evolving realm of next-generation communication systems, characterized by ultra-low latency and high-speed data transmission, effectively managing network congestion remains a critical challenge. Traditional congestion control mechanisms often struggle to meet the demands of these advanced environments. This paper presents a novel approach that integrates both delay and loss metrics, specifically designed for 5G and beyond. By utilizing real-time variations in delay and packet loss as indicators of congestion, the proposed method enables dynamic adjustments of data transmission rates to mitigate congestion proactively. This strategy aims to minimize packet loss, reduce latency, and enhance throughput, addressing the needs of modern applications such as IoT and autonomous vehicles. Extensive simulations demonstrate significant improvements in network efficiency and reliability compared to traditional algorithms, contributing to the development of adaptive congestion control mechanisms that ensure consistent, high-quality service in complex network conditions.
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