An optical wavelength division multiplexing (WDM) multicast network interconnects an input signal on a given wavelength to one or more output fibers, possibly on different wavelengths (via wavelength conversion), while maintaining the signal in the optical domain. A key challenge in the design of scalable multicast networks is to reduce conversion complexity without affecting the switching capability and signal quality. In this article, we propose a scalable WDM multicast Beneš interconnection network with minimized conversion complexity. The proposed network is based on the Copy-and-Route architecture, and it uses multi- channel WCs (MCWCs) for wavelength conversion. The conversion complexity of the proposed design is O(F log2 W) (where F is the number of fibers and W is the number of wavelengths per fiber), which is smaller than the O(FW) complexity of the optimal design based on conventional single-channel WCs (SCWCs). We prove that, for W > 64 and for any value of F, the conversion complexity of the new design is strictly less than that of the optimal SCWC-based design regardless of the total number of wavelengths simultaneously converted by each MCWCs. Analyzes of conversion complexity of the proposed design for large values of W confirm considerable savings compared to the optimal SCWC-based design. For instance, for W = 256 and an for an arbitrary value of F, a practical implementation of the proposed design achieves 87% reduction in conversion complexity as compared to the optimal SCWC-based design.
Photonic Network Communications – Springer Journals
Published: Sep 16, 2010
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera