SDN-Based Congestion Control and Bandwidth Allocation Scheme in 5G Networks.

Area of Science:

• Computer Science
• Network Engineering
• Telecommunications

Background:

• 5G networks offer significant speed improvements over 4G but face challenges with high packet loss rates, especially in dynamic environments like the Internet of Vehicles (IoV).
• Traditional congestion control algorithms (e.g., CUBIC, BBR) struggle to balance performance and fairness in these demanding network conditions, leading to slow convergence times.

Purpose of the Study:

• To propose and evaluate a novel congestion control algorithm, bottleneck routing feedback (BRF), designed for high-bandwidth, high-packet-loss 5G network environments.
• To enhance flow fairness and accelerate convergence rates compared to existing algorithms.

Main Methods:

• Developed a bottleneck routing feedback (BRF) algorithm utilizing Software-Defined Networking (SDN) and the OpenFlow protocol to gather network bandwidth information.
• Implemented BRF to control sender data transmission rates by embedding bottleneck bandwidth data in ACK packet options.
• Designed a bandwidth allocation scheme compatible with multiple congestion control algorithms to ensure fairness and rapid convergence.

Main Results:

• Experimental evaluations using Mininet demonstrated that BRF achieves higher bandwidth utilization.
• BRF significantly reduces convergence time for data flows.
• The proposed algorithm ensures fairer bandwidth allocation among competing flows.

Conclusions:

• Bottleneck routing feedback (BRF) is an effective in-network congestion control strategy for 5G cellular networks.
• BRF outperforms traditional algorithms in terms of bandwidth utilization, convergence speed, and fairness, particularly in challenging IoV scenarios.