Ciena

About: Ciena is a company organization based out in Hanover, Maryland, United States. It is known for research contribution in the topics: Signal & Node (networking). The organization has 1259 authors who have published 1557 publications receiving 25989 citations.

Predicting optical spectral profiles in advance of capacity changes in optical networks

Abstract: Systems and methods for preconditioning an optical spectrum through predicting optical spectral profiles in advance of capacity changes in an optical section include obtaining data associated with the optical section to model a current state of spectral loading in the optical section; responsive to a proposed capacity change in the current state of spectral loading, estimating a future state of spectral loading which includes the capacity change; and causing changes to one or more settings in the optical section to achieve an optimized spectral loading for the future state of spectral loading.

Processing, forming, modifying, and comparing packet data structures

Abstract: Packet data structure formation methods include receiving a request to create a data structure for representing a packet. The request may refer to two or more fields to be included in the packet. The methods further include determining bit values and packet positions associated with the fields and, based on the determining, creating a set of bits comprising the packet. The set of bits include the bit values in the packet positions. The method further includes storing the set of bits using the data structure.

Systems and methods for highly efficient bit error rate modeling in quasi-linear communication networks

Abstract: The present invention provides systems and methods for highly efficient bit error rate (BER) modeling in quasi-linear communication networks. In the present invention, nonlinear noise is treated within a linearization approach along with the amplified spontaneous emission (ASE) noise, and the nonlinear noise is considered as another source of noise in addition to the ASE noise. This enables a quasi-analytical approach to the BER calculation. First, a covariance matrix is analytically computed. An equation is derived for a noise component of a signal and an implicit analytical solution is found depending on the signal and system parameters. Second, probability distribution functions (pdfs) are computed for the signal. An analytical calculation is performed of the characteristic function for the noise statistics. Next, a numerical computation of the Fourier transform of the characteristic function is performed to yield the pdf, and numerical integration is performed on the pdfs to yield the BER.

Hierarchical resource management for switch assembly systems

Abstract: Managing resources in a multi-level switch assembly system, includes a resource tree with the multiple hierarchical levels, wherein a first level device is associated with a first level, one or more second and third level devices are associated with lower, second and third levels respectively, and so on. Cost tokens are assigned to the various devices based on their corresponding resource requirements. Resources of the multi-level switch assembly system, such as, ports and/or bandwidth, are dynamically allocated to the first, second, third level devices, and so on, based on their corresponding cost tokens in a hierarchical manner.

Unidirectional asymmetric traffic pattern systems and methods in switch matrices

Abstract: A switch fabric system and network element based thereon include a N×M switch fabric with M Trail Termination Points (TTPs) each with N timeslots there through in a bidirectional manner, a first connection in the switch fabric, wherein the first connection includes a unidirectional asymmetric connection of X timeslots, wherein X