Fiber Link Health Detection and Self-Healing Algorithm for Two-Ring-Based RoF Transport Systems

Area of Science:

• Telecommunications Engineering
• Optical Networking
• Network Reliability

Background:

• Radio over Fiber (RoF) systems are crucial for high-speed data transmission.
• Ensuring Quality of Service (QoS) in RoF networks is challenging due to potential fiber link failures.
• Existing fault detection and recovery mechanisms may not be sufficiently robust for complex RoF transport systems.

Purpose of the Study:

• To propose a robust two-step fiber link failure detection and self-healing algorithm for a two-ring-based RoF transport system.
• To enhance the reliability and ensure Quality of Service (QoS) in RoF networks.
• To dynamically manage network pathways in response to fiber link failures.

Main Methods:

• Implementation of a two-step algorithm for detecting and locating fiber link failures.
• Utilizing fiber Bragg grating (FBG) for remote sensing of link health.
• Employing preinstalled optical switches and novel single-line bidirectional optical add/drop multiplexers for dynamic pathway adjustment.
• Simulating the proposed algorithm's performance under various failure scenarios.

Main Results:

• The proposed algorithm successfully detects and locates blocked fiber links in the RoF transport system.
• Dynamic adjustment of optical switches effectively restores all blocked network connections.
• The system maintains Quality of Service (QoS) even with multiple fiber link failures, except in extreme conditions.
• The self-healing mechanism proves efficient in bypassing faulty segments.

Conclusions:

• The developed self-healing algorithm significantly improves the resilience of two-ring-based RoF transport systems.
• The integration of FBG, optical switches, and novel multiplexers enables effective dynamic network reconfiguration.
• The proposed system reliably ensures continuous Quality of Service (QoS) by mitigating the impact of fiber link failures.