Performance analysis and rain attenuation modelling of RoFSO link for hilly region of India

Author:

Kaur Jasleen1,Kaur Sanmukh1ORCID,Sharma Aanchal1,Amphawan Angela2

Affiliation:

1. Amity School of Engineering and Technology , Amity University , 201203 Noida , Uttar Pradesh , India

2. School of Engineering and Technology , Sunway University , 47500 Bandar Sunway , Selangor Darul Ehsan , Malaysia

Abstract

Abstract Free Space Optics (FSO) is one the most in-demand technology, and is used indoors, on the ground, in space, and even underwater. It is used to broaden communication access to places where bandwidth is insufficient or where difficult topography prevents the use of cable communications. One of the foremost communication challenges that contribute to the degradation of FSO performance is the environmental condition. Hilly regions experience heavy rainfall and have rough terrain which may demean the FSO link communication. In this work, for real-time rain rate analysis of the Meghalaya region two unique rain attenuation models are investigated for monsoon months from the years 2014 to 2020. Considering Marshall and Palmer’s model and by employing 8, 16 and 32-quadrature amplitude modulation (QAM) schemes, radio-over-free space optical (RoFSO) system has been evaluated by varying FSO channel range, power and bit rate.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Performance investigation of Ro-FSO link under clear and fog conditions employing machine learning;Journal of Optics;2024-06-21

2. Performance Evaluation of Free Space Optical Link for Multi Impairments;2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2023-12-15

3. Performance Investigation of Radio over Free Space Optics under Fog Weather Conditions;2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2023-12-15

4. Performance estimation of SISO and MIMO Ro-FSO link under atmospheric turbulence;Optical and Quantum Electronics;2023-11-23

5. Machine learning based performance estimation of terrestrial Ro-FSO Link;Physica Scripta;2023-06-29

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