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We propose a dual-stage multi-pump FWM scheme for all-optical signal multicasting in HNLF. Based on the scheme, we experimentally demonstrate 25GHz-spaced l-to-49 multicasting of PDM OFDM signal using 6 pumps. All replicas exhibit performance above 7% FEC threshold with Q-factor margin of no less than 1dB. To the best our knowledge, this is the largest reported replica count in the context of all-optical...
This work studies the social-aware joint issue of mode selection and link allocation over mobile device-to-device (D2D) communications underlaying cellular networks. We first model this joint problem as a hedonic coalition formation game, which considers the tradeoff between the benefits in terms of achievable rate and the costs in terms of the mutual interference. Importantly, we introduce the local...
Interdomain Multipath Routing, which enables a source AS to use more than one paths for a destination AS, is a promising technique for achieving high bandwidth, high resiliency and fast reaction to failures. However, previous interdomain multipath routing protocols often produce paths which might share bottlenecks, which makes them vulnerable to failure on bottlenecks and therefore inefficient to...
This paper offer a method to obtain UAV's flight parameters at auto-landing period based on the algorithm of camera calibration. According to the geometry features of landing ground to obtain vanishing point, the focal length function is established from the u and v axis scale of the image plane, then the attitude and position of UAV are achieved from the calibration result. Simulation indicates that...
Digital library, because of its resource demanding and other issues to solve, is an important application of multilingual information access (MLIA). However, the requirements of MLIA systems and applications are not typically addressed or assessed in our evaluations of digital libraries. This paper, therefore, aims to study the usages of MLIA in Chinese academic digital libraries. We conducted some...
The polynomial kernel is one of the most important kernels used in the learning theory. This paper provides an error analysis for the support vector machine (SVM) soft margin classifier with polynomial kernels. The learning rate is estimated by the sum of sample error and regularization error. As an important tool, so-called modified Durrmeyer polynomials are introduced. The norm of reproducing kernel...
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