Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Optical code-division multiple-access coding architecture with 2n prime-sequence codes

Not Accessible

Your library or personal account may give you access

Abstract

Recent study1 shows that the performance of an optical code-division multipleaccess (CDMA) network cannot be evaluated by only considering the correlation properties of the selected optical pseudo-orthogonal codes.2,3 The coding architecture (i.e., the structures of the optical encoders and decoders) is another important factor to consider, since it affects the power budget and feasibility of the system. As a result, "tunable prime" and "modified 2n" coding architectures, respectively, for the prime-sequence and 2n codes have been proposed to improve the power-efficiency.1,4 Recently, "2n primesequence" codes, a collection of symmetric binary sequences with weight 2n, have been introduced and pose the pseudo-orthogonal and algebraic properties of the original prime-sequence codes.5 To effectively utilize these codes, a novel coding architecture, which consists of a "modified" tunable prime encoder and a 2n decoder, is proposed to substantially reduce the power loss, cost, and complexity of the systems using optical CDMA.

© 1994 IEEE

PDF Article
More Like This
Programmable ultrafast all-optical code-division multiple access networks

Wing C. Kwong and Paul R. Prucnal
WH7 Optical Fiber Communication Conference (OFC) 1992

Demonstration on a programmable ultrafast all-optical code-division multiple access network

Wing C. Kwong, Yan-Ming Liu, and Paul R. Prucnal
CMH2 Conference on Lasers and Electro-Optics (CLEO:S&I) 1992

Optical CDMA with new coding strategies and new architectures to achieve bipolar capacity with unipolar codes

D. Zaccarin and M. Kavehrad
WN1 Optical Fiber Communication Conference (OFC) 1994

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.