“Improving the performance of optical fiber communication systems based on spatial distribution” is the title of Mohammad Ali Amirabadi’s postdoctoral project, which was carried out under the guidance of Seyed Alireza Nizam Al-Hosseini and supported by the National Science Foundation of Iran.
According to RCO News Agency, Mohammad Ali Amirabadi with a specialized doctorate degree in Electrical – Telecommunication – System Engineering from the University of Science and Technology explained about this project: With the increasing growth and expansion of telecommunication networks and systems, the need to increase the data rate and bandwidth is one of the basic needs of infrastructure networks. Telecom has become.
He continued: Among various telecommunication technologies, optical telecommunication has long been the interest of researchers and plays an essential role in the transmission of traffic in the core of telecommunication networks. Relying on optical fiber propagation environment, this system is able to provide wide bandwidth, high security and reliability. Nevertheless, due to the ever-increasing growth of traffic generated in access networks as well as the expansion of the fifth generation, researchers are always looking to achieve higher data rates and bandwidth.
Amirabadi continued: Recently, research has moved towards the use of optical fiber based on spatial division to meet the stated needs, because it provides a suitable answer to the data rate problem. Despite the stated advantages, the performance of this system is limited due to the presence of linear and non-linear coupling along with other optical fiber effects.
He stated: Various researches have been conducted to compensate for linear and non-linear effects in optical fiber. The problem of reducing the linear and non-linear effects of the optical fiber in the optical fiber based on spatial division becomes more important, because in these optical fibers, linear and non-linear coupling is created between the different spatial components, which affect the system performance.
He emphasized: Few studies have been conducted in the discussion of reducing the effects of optical fiber based on spatial division, both in the field of traditional signal processing and deep learning. In this project, different methods of traditional signal processing are presented as a suitable solution to reduce the effects of optical fiber based on spatial division.
According to Iran’s National Science Foundation (INSF), Amirabadi said about the goals of this project: One of the goals of this project is to provide a solution with low complexity and, of course, proper performance and use algorithms based on deep learning to solve the proposed problem.
In the end, he pointed out: providing a solution based on deep learning to reduce the computational load is an important achievement of this research, because before this there is no research on reducing the linear and non-linear effects of optical fiber based on spatial division sharing with the help of deep learning. was not provided.
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