MACHINE LEARNING BASED NONLINEARITY DETERMINATION FOR OPTICAL FIBER COMMUNICATION-REVIEW

The technological growth in our day to day life and its integration advancements in the communication network to activate a seamless communication have led to digital transformation in almost all applications. This causes a huge set of digital information conveyance via email, audio and video calls connecting people at all times. These data that are presently conveyed with the aid of the optic fiber communication technology would become outdated in the future years due to the growing demands of the digital information due to its intrinsic nonlinear effects. The machine learning appears as the promising technology to handle the complexities to be faced in the future systems by identify novel methodologies and utilizing available resources. The paper is to present the review on the nonlinearities experienced in the optical fiber and the promising solution provided by the machine learning techniques to enhance the capabilities of the optical fiber communication.

Research of Algorithms used for Routing and Assigning Wavelength in WDM Networks

The telecommunications department is the most difficult in today's communication offering the highest amount of bandwidth. With the finest prototypes and test rigs to form optical WDM technology, many companies have appeared for a particular link request, a wavelength and a path must be allocated in the WDM network. Routing and Wavelength Assignment (RWA) problem is called the assignment of a wavelength and a path to the link request, with accessible resources. The aim of this article is to analyze the algorithms for any WDM networks for efficient wavelength assignment routing protocols. As a researcher, we plan to suggest a comprehensive literature study for the development of a new algorithm for efficient allocation and appropriate wavelength usage and the routing of data packets from source to destination to overcome all failures. Before allocation, we use simulations and analyze optic fiber communication methods, various losses depending on dynamic wavelength allocation with minimum and maximum.