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New fibre optic technology can boost Internet bandwidth

Written By Unknown on Friday 28 June 2013 | 08:30


In a breakthrough, scientists, including one of Indian-origin, have devised a new fibre optic technology that promises to increase bandwidth dramatically, easing Internet congestion and video streaming.
The technology centers on donut-shaped laser light beams called optical vortices, in which the light twists like a tornado as it moves along the beam path, rather than in a straight line.
Widely studied in molecular biology, atomic physics and quantum optics, optical vortices (also known as orbital angular momentum, or OAM, beams) were thought to be unstable in fibre, until Boston University Engineering Professor Siddharth Ramachandran recently designed an optical fibre that can propagate them.

In the paper in journal Science, he and Alan Willner of University of Southern California, demonstrated the stability of the beams in optical fibre and also their potential to boost Internet bandwidth.

"For several decades since optical fibres were deployed, the conventional assumption has been that OAM-carrying beams are inherently unstable in fibres," said Ramachandran.

"Our discovery, of design classes in which they are stable, has profound implications for a variety of scientific and technological fields that have exploited the unique

properties of OAM-carrying light, including the use of such beams for enhancing data capacity in fibres," he said.

Ramachandran and Willner collaborated with OFS-Fitel, a fibre optics company in Denmark, and Tel Aviv University.

Traditionally, bandwidth has been enhanced by increasing the number of colours, or wavelengths of data-carrying laser signals - essentially streams of 1s and 0s - sent down an optical fibre, where the signals are processed according to colour.

An emerging strategy to boost bandwidth is to send the light through a fibre along distinctive paths, or modes, each carrying a cache of data from one end of the fibre to the other.

Unlike the colours, however, data streams of 1s and 0s from different modes mix together; determining which data stream came from which source requires computationally intensive and energy-hungry digital signal processing algorithms.


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