Optical Transport Network

About: Optical Transport Network is a research topic. Over the lifetime, 6055 publications have been published within this topic receiving 85783 citations.

Experimental demonstration of spectrum-sliced elastic optical path network (SLICE)

Abstract: We describe experimental demonstration of spectrum-sliced elastic optical path network (SLICE) architecture. We employ optical orthogonal frequency-division multiplexing (OFDM) modulation format and bandwidth-variable optical cross-connects (OXC) to generate, transmit and receive optical paths with bandwidths of up to 1 Tb/s. We experimentally demonstrate elastic optical path setup and spectrally-efficient transmission of multiple channels with bit rates ranging from 40 to 140 Gb/s between six nodes of a mesh network. We show dynamic bandwidth scalability for optical paths with bit rates of 40 to 440 Gb/s. Moreover, we demonstrate multihop transmission of a 1 Tb/s optical path over 400 km of standard single-mode fiber (SMF). Finally, we investigate the filtering properties and the required guard band width for spectrally-efficient allocation of optical paths in SLICE.

All fiber-optic neural network using coupled SOA based ring lasers

Abstract: An all-optical neural network is presented that is based on coupled lasers. Each laser in the network lases at a distinct wavelength, representing one neuron. The network status is determined by the wavelength of the network's light output. Inputs to the network are in the optical power domain. The nonlinear threshold function required for neural-network operation is achieved optically by interaction between the lasers. The behavior of the coupled lasers is explained by a simple laser model developed in the paper. In particular, the winner take all (WTA) neural-network behavior of a system of many lasers is described. An experimental system is implemented using single mode fiber optic components at wavelengths near 1550 nm. A number of functions are implemented to demonstrate the practicality of the new network. The neural network is particularly robust against input wavelength variations.

Framework system of grade software defined network software controller and implementation method thereof

Abstract: The invention discloses a framework system of a grade software defined network software controller and an implementation method thereof. The framework system and the implementation method are applied in a multi-domain optical transport network (OTN); an inter-domain mapping relation of a whole network view and a physical device network is established according to whole network topologic information by a primary (SDNOTN) controller; an inter-domain mapping processing request of the whole network view and the physical device network in each domain is sent to each auxiliary SDNOTN; and the domain mapping relation of the whole network view and the physical device network is established by the auxiliary SDNOTN controllers. Grade structures of the primary SDNOTN controller and the auxiliary SDNOTN controllers are arranged in the framework system, so that the mapping relation of the multi-domain whole network view and the overall physical device network in real sense is realized, and a whole network resource optimizing algorithm is realized in the real sense, so that the problem that the inter-domain link resource conflict occurs in a cross-domain service connection signaling process can be thoroughly solved.

Hamiltonian p-cycles for fiber-level protection in semi-homogeneous homogeneous and optical networks

Abstract: Recently there has been interest in DWDM-based optical networks that are assumed to employ exactly two working fibers uniformly on every span (or "link"). At the fiber level such networks are referred to as homogeneous networks. An interesting and highly efficient strategy for protection of such networks is to use a single dark-fiber p-cycle formed on a Hamiltonian cycle (if it exists). We show that in a homogeneous Hamiltonian network, a Hamiltonian p-cycle is the most efficient overall solution, although interestingly it does not always correspond to the individually most efficient p-cycle that can be formed. We also consider p-cycle planning in non-Hamiltonian but homogeneous networks and introduce the concept of a semi-homogenous network, specifically linked to the p-cycle concept. The proposed semi-homogeneous class of network actually realizes the theoretical lower bound on span-restorable networks in terms of network redundancy. Such networks also provide a strategy to accommodate certain patterns of capacity growth beyond a homogenous network without any increase in protection capacity. The work also demonstrates and explains why a single Hamiltonian p-cycle is not as efficient as a specifically optimized set of individual p-cycles in a "capacitated" (non-homogeneous) network where the working capacity on each span varies in a general way. These discussions provide new options for DWDM network architecture and also clarify some possible confusions about the applicability of Hamiltonian p-cycles and generalized sets of p-cycles.

Fast restoration in a mesh network of optical cross-connects

Abstract: This paper proposes a distributed restoration method for mesh networks of optical cross-connects (OXCs) that is competitive with SONET ring restoration speeds. This approach is especially adapted to OXCs with optic fabrics where electronic signal performance or fault detection is available only at add/drop ports.