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High-performance photonic crystal fiber (PCF) has an important impact on the development of the full potential of complex terahertz systems. A new kind of PCF with D-shaped air holes in core region was proposed for terahertz (THz) region. The numerical simulation results showed that the proposed PCF has a flat dispersion of 0.09 ± 0.28 ps/THz/cm at 0.8-1.2 THz. At 1 THz, an ultra-high birefringence of 0.0595, a low effective material loss (EML) of 0.0557 cm−1, and dispersion that can be considered zero were obtained. In addition, other characteristics of the proposed PCF were strictly analyzed, such as confinement loss, bending loss, and effective mode area. The PCF is expected to be used for short distance propagation of terahertz, polarization maintaining and sensing applications of terahertz waves [ABSTRACT FROM AUTHOR]

Multiple use cases are the dominant feature for the fifth-generation mobile communication system (5G). Enhanced mobile broadband (eMBB) and ultrareliability low latency communication (uRLLC) are considered as two main scenarios. Different from the eMBB, which requires high data rate, the uRLLC requires extremely high reliability and very low latency. With multiple demands, the coexistence of eMBB and uRLLC will be an urgent challenge for the 5G networking strategy. In this article, a dynamic multiconnectivity (MC)-based joint scheduling framework with traffic steering for eMBB and uRLLC is proposed. The eMBB and uRLLC are specifically sliced with each other, which avoids the queue of uRLLC. A modified effective capacity (EC) model is proposed to measure the performance of our framework, which improves the throughput of eMBB under the guarantee of uRLLC latency. The proposed EC model turns the analytical target to the queue of users, different from the queue of base stations in traditional EC model. By a two-step optimization, the typical mixed integer nonlinear programming conducted by the EC model is decomposed into the integral programming and the nonlinear programming. The system-level simulation results show the proposed framework enhances the system throughput effectively while guaranteeing the uRLLC latency. [ABSTRACT FROM AUTHOR]

Multi-domain network resource reservation systems are being deployed, driven by the demand and substantial benefits of providing predictable network resources. However, a major lack of existing systems is their coarse granularity, due to the participating networks’ concern of revealing sensitive information, which can result in substantial inefficiencies. This paper presents Mercator, a novel multi-domain network resource discovery system to provide fine-grained, global network resource information, for collaborative sciences. The foundation of Mercator is a resource abstraction through algebraic-expression enumeration (i.e., linear inequalities/equations), as a compact representation of multiple properties of network resources (e.g., bandwidth, delay, and loss rate) in multi-domain networks. In addition, we develop an obfuscating protocol, to address the privacy concerns by ensuring that no participant can associate the algebraic expressions with the corresponding member networks. We also introduce a super-set projection technique to increase Mercator’s scalability. We implement a prototype Mercator and deploy it in a small federation network. We also evaluate the performance of Mercator through extensive experiments using real topologies and traces. Results show that Mercator 1) efficiently discovers available networking resources in collaborative networks on average four orders of magnitude faster, and allows fairer allocations of network resources; 2) preserves the member networks’ privacy with little overhead; and 3) scales to a collaborative network of 200 member networks. [ABSTRACT FROM AUTHOR]