Design tools for transparent optical networks

Optical technology promises to revolutionize data networking by providing enormous bandwidth for data transport at minimal cost. A key to cost reduction is to increase transparency, that is, to keep a data stream encoded as an optical signal for as long as possible. Wavelength switching increases transparency by allowing different data streams, each encoded in a different wavelength of light, to be independently routed through an optical network. We discuss Bell Labs-developed software tools that help design wavelength-switched optical networks. The software tools simultaneously minimize the cost of the designed network, reduce the time and cost to perform the design, and ensure compliance with engineering constraints. The tools span three levels of abstraction, from routing and reconfigurable add/drop multiplexer (ROADM) choice, to span engineering, to power dynamics simulation. Each level represents a different tradeoff between design scope and level of detail. For each class of tool, we briefly describe design philosophy, algorithms, performance, and resulting value for Lucent's customers.

[1]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[2]  Y. Aoki,et al.  Properties of fiber Raman amplifiers and their applicability to digital optical communication systems , 1988 .

[3]  L. Zhang,et al.  Line system design for DWDM networks , 2004, 11th International Telecommunications Network Strategy and Planning Symposium. NETWORKS 2004,.

[4]  G. Agrawal Fiber‐Optic Communication Systems , 2021 .

[5]  Daniel C. Kilper,et al.  Simulation of power evolution and control dynamics in optical transport systems , 2005, Bell Labs Technical Journal.

[6]  Prithviraj Banerjee,et al.  ESP: A New Standard Cell Placement Package Using Simulated Evolution , 1987, 24th ACM/IEEE Design Automation Conference.

[7]  L. Zhang,et al.  DCM selection on an optical line system , 2004, 11th International Telecommunications Network Strategy and Planning Symposium. NETWORKS 2004,.

[8]  Brian W. Kernighan,et al.  AMPL: A Modeling Language for Mathematical Programming , 1993 .