Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
KARAMJEET SINGH1, MEHTAB SINGH2,* , AMIT GROVER1
This study presents the modeling of a terrestrial free-space optics (FSO) transmission system that integrates mode division multiplexing (MDM) with dense wavelength division multiplexing (DWDM). A total of 32 laser channels, operating within the frequency range of 193.1 THz to 196.2 THz, are utilized. The channels are spaced apart by 100 GHz. Each wavelength channel employs two spatial Hermite-Gaussian (HG) modes, specifically and . These modes are responsible for transmitting 10-Gbps of non-return-to-zero data. The transmission takes place over a free-space channel, even in challenging weather conditions. The system's net transmission speed is 640 Gbps. The FSO system is assessed for its performance under several weather conditions, including clear, rain, haze, and fog using simulative analysis. The metrics used for evaluation are the signal-to-noise ratio, received power, and eye diagrams. The findings exhibit consistent transmission at a speed of 640 Gbps over a range of 800 meters to 6 kilometers, with dependable performance metrics.
Mode division multiplexing, Hermite-Gaussian modes, Dense wavelength division multiplexing, Free-space optics, Weather attenuation.
KARAMJEET SINGH, MEHTAB SINGH, AMIT GROVER, Performance evaluation of a 640-Gbps integrated dense wavelength division multiplexing-mode division multiplexing-based free-space optics transmission system, Optoelectronics and Advanced Materials - Rapid Communications, 18, 5-6, May-June 2024, pp.239-248 (2024).
Submitted at: Jan. 26, 2024
Accepted at: June 5, 2024
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
Active accounts were imported to the new platform and assigned a random password by default. In order to access your account you need to access the login page and go through the Lost Password dialog (involves the system sending you an email with instructions) in order to reset your password. This step is necessary as passwords are kept in hashed form and the new platform uses modern hashing algorithms incompatible with the previous ones.