Mode-Division Multiplexing over Few-Mode Fiber Using Coherent MIMO Digital Signal Processing

Anuja Mishra*, Sharad Mohan Shrivastava**, Pooja Sharma***, Prachi Agrawal****, Rahul Parganiha*****
*,***-***** PG Scholar, Department of Communication Engineering, Chhattisgarh Swami Vivekanand Technical University, Bhilai, India.
** Assistant Professor, Department of Electronics & Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, India.
Periodicity:January - March'2016
DOI : https://doi.org/10.26634/jdp.4.1.4860

Abstract

As we know that the capacity limits of single mode fiber has almost reached its maxima, Space Division Multiplexing can be helpful for increasing the data rate requirement. This paper, inferred the transmission of 6 spatial and polarisation modes, each carrying the quadrature-phase-shift-keyed channels over few-mode fiber keeping lower differential group delay. The authors present a Multiple-Input Multiple-Output (MIMO) optical link based on coherent optics and its ability to exploit the inherent information capacity of a multimode fiber. A Coherent implementation differs from previous work in optical MIMO by allowing the system to tolerate smaller modal delay spread yet maintains the necessary diversity needed for MIMO operation. Here in this paper, the authors use Optiwave’s Optisystem software for carrying out required simulations. Optisystem provides Visualizer library consisting of spectrum analyzer, time domain visualizer, power meter, WDM analyzer, Oscilloscope visualizer, etc, which will be helpful in verifying whether the signal has been transmitted efficiently via Few-mode fiber from transmitter section to receiver one with significant flexibility.

Keywords

Mode-multiplexing, Multiple Input Multiple Output (MIMO), Digital Signal Processing (DSP), Coherent Communication, Multi-Mode Fiber

How to Cite this Article?

Mishra,A., Shrivastava,S,M., Sharma,P., Agrawal,P., and Parganiha,R., (2016). Mode-Division Multiplexed Transmission over Few-Mode Fiber Using Coherent MIMO Digital Signal Processing, i-manager’s Journal on Digital Signal Processing, 4(1), 24-31. https://doi.org/10.26634/jdp.4.1.4860

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