Alignability vs. bandwidth and signal-to-noise ratio for optical interconnects

Russell S. Beech; Anjan K. Ghosh

doi:10.1117/12.983216

2 February 1993 Alignability vs. bandwidth and signal-to-noise ratio for optical interconnects

Russell S. Beech, Anjan K. Ghosh

Proceedings Volume 1773, Photonics for Computers, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.983216
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

It is desirable to design an optical interconnect so that it has high bandwidth, signal-to-noise ratio, and alignability. Examining the relationship between the alignability and bandwidth and the alignability and signal-to-noise ratio shows that increasing the alignability can lead to a simultaneous increase in the signal-to-noise ratio, but a decrease in the bandwidth. To find a design which balances these opposing effects, the product of alignability, signal-to-noise ratio, and bandwidth is plotted versus the normalized detector size of the interconnect. The peak of this curve yields the optimum detector size for the given physical interconnect design. Using this detector size, the interconnect's signal power and receiver parameters can be altered, as needed, to yield the required bandwidth and signal-to-noise ratio.

Citation Download Citation

Russell S. Beech and Anjan K. Ghosh "Alignability vs. bandwidth and signal-to-noise ratio for optical interconnects", Proc. SPIE 1773, Photonics for Computers, Neural Networks, and Memories, (2 February 1993); https://doi.org/10.1117/12.983216

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available