Journal Article

Hybrid intelligent self-optimizing OBS burst assembly approach for 5G optical networks

Garg, Amit Kumar

2025

Overview

One networking technology driving the creation of 5G networks is optical burst switching (OBS). High bandwidth low latency flexible resource allocation and cost effectiveness are just a few of its benefits. However, OBS does have some disadvantages. It requires precise network component synchronization and is susceptible to packet loss due to burst contention. This research approach uses a hybrid intelligent method that combines optimization and predictive functions to present a burst assembly strategy for OBS that is customized for 5G optical networks. This strategy seeks to reduce latency and improve overall network performance by dynamically generating bursts based on the networks current state. The best burst assembly parameters are found using an improved optimization technique and adaptive decision-making is supported by a forecasting learning model that predicts future network conditions. In comparison to previous solutions, the computational results show that this novel mechanism has significantly improved throughput and decreased average latency which ultimately lowers the likelihood of blocking in 5G network scenarios.