Density Decompositions of Networks

  • Borradaile G.
  • Migler T.
  • Wilfong G.

We introduce a new topological descriptor of a network called the density decomposition which is a partition of the nodes of a network into regions of uniform density. The decomposition we define is unique in the sense that a given network has exactly one density decomposition. The number of nodes ...

Error awareness in a multi-layer transport network operating system

Software-defined control based on a network operating system combined with flexible-bitrate optical transponders allows near zero-margin operation of optical networks to ""squeeze"" as much capacity out of a link as possible. Since their inception, optical transport networks have been designed with the assumption that operational optical links must essentially be ...

3GPP LTE-WLAN Aggregation Technologies: Functionalities and Performance Comparison

  • Henttonen T.
  • Laselva D.
  • Lopez-Perez D.
  • Rinne M.

The use of license exempt bands offers a promising opportunity to additionally enhance operator networks to meet the future traffic demand. The recent specification efforts in 3GPP has resulted in two major aggregation features that enable Long Term Evolution (LTE) networks to benefit of unlicensed spectrum via Wireless Local Area ...

Error Awareness in a Multi-Layer Transport Network OS

  • Choi N.
  • Di Martino C.
  • Kim Y.
  • Narasimha Mohanasamy N.
  • Simsarian J.
  • Thottan M.
  • Winzer P.

Software-defined control with a network operating system combined with flexible-bitrate optical transponders allows near zero-margin operation of optical networks to "squeeze" as much capacity out of a link as possible. Since their inception, optical transport networks have been designed with the assumption that operational optical links must essentially be error ...

Digital assistance for the automated discovery and deployment of IoT services

  • Bui D.
  • Le Pallec .
  • Le Sauze N.
  • Noirie L.
  • Peloso P.

At the dawn of a fully connected world with many different devices, benefiting from the whole richness of IoT services still represents a complex task for end-users. To lessen such a burden, we propose and demonstrate a solution that combines an SDN-based IoT-network platform and a service recommendation assistant. This ...

Model-free resource management of cloud-based applications using reinforcement learning

The digital system of the future will face the growing challenge of controlling the system behavior in complex dynamically evolving environments. In this paper, we examine the applicability of a new management paradigm based on Reinforcement Learning approach, where no preliminary specification of the system model is required. In contrast, ...

Modelling NFV concepts with ontologies

Reference architectures such as ETSI's Network Function Virtualisation Reference Architecture has the potential not just to clarify terminology but to confuse it. We propose mapping such an architecture and the concepts therein into a properly defined ontology based upon a formal description logic semantics. This enables modelling and reasoning over ...

A big switch abstraction to support service function chaining in cloud infrastructure

The concept of Service Function Chaining and Network Functions Virtualisation provides a great degree of flexibility for the rapid deployment of new services in service providers' environments. Data model, metadata and descriptors for virtual network function elements, virtual links, connection points, Virtual Network Function Forwarding Graphs and Network Forwarding paths ...

Demo of a big switch abstraction for service function chaining

In this demonstration, we present a prototype of Big Switch Abstraction to support network as service through the realization of Virtual Network Function Forwarding Graphs and Network forwarding paths.

Testing a Q-learning approach for derivation of scaling policies in cloud-based applications

In this demonstration, we show the applicability of a new management paradigm based on Reinforcement Learning approach for the control of systems' behavior in complex dynamically evolving environments, without requiring preliminary specifications of the system models. The learning agent identifies the most adequate control policies in live interaction with a ...

An advanced telco cloud simulator and its usage on modelling multi-cloud and 5G multi-access environments

This paper introduces an advanced Telco Cloud Simulator that realistically models user behavior (users of different types moving around and demanding network resources) and the effect of this behavior on the relating cloud environment and the distributed Mobile Edge Computing (MEC) subsystems. Expected inputs of the simulation are the following: ...

Rejuvenating direct modulation and direct detection for modern optical communications

  • Che D.
  • Chen X.
  • Hu Q.
  • Li A.
  • Shieh W.

High-speed transoceanic optical fiber transmission using direct modulation (DM) and direct detection (DD) was one of the most stirring breakthroughs for telecommunication in 1990s, which drove the internet as a global phenomenon. However, the later evolution of optical coherent communications in 2000s gradually took over the long-haul applications, due to ...

A fully integrated scalable W-band phased-array module with integrated antennas, self-alignment and self-test

Advanced SiGe BiCMOS and CMOS processes continue to push the frontier on millimeter-wave (mm-wave) and highly integrated phased-array systems for a variety of communication applications [1,3]. Furthermore, next-generation mobile technology (5G) demands ultra-low latency and high data-rates with ubiquitous deployment supporting multi-users through the use of pico-cells. These cells may ...

Mobile edge computing with network resource slicing for Internet-of-Things

  • Husain S.
  • Kunz A.
  • Prasad A.
  • Samdanis K.
  • Song J.

Network slicing is an end-to-end concept that encompasses network functions, radio accesses, and clouds for enabling customized information-centric Internet-of-Things (IoT) services. The key idea is to virtualize all the resources from radio accesses to IoT service layers, so that IoT service providers can automate resource provisioning and management for users. ...

A flowers of sulfur corrosion chamber for testing electronic hardware

A flowers of sulfur (FoS) corrosion test chamber has been developed by the iNEMI taskforce on creep corrosion on printed circuit boards (PCBs). Besides testing for creep corrosion, the FoS chamber has the potential of replacing the mixed-flowing gas (MFG) chamber as an industry-standard, general-purpose corrosion chamber for testing a ...

iNEMI project on process development of BISN-based low temperature solder pastes â€" Part II: Characterization of mixed alloy BGA solder joints

In 2015, the International Electronics Manufacturing Initiative (iNEMI) initiated the Bismuth-Tin (Bi-Sn) based Low-Temperature Soldering Process and Reliability (LTSPR) Project. The goal of this project was to address the challenge of evaluating new formulations from multiple suppliers of low temperature melting solder pastes incorporating Bi-Sn solder metallurgy. These new formulations ...

OpenStack installation using Packstack installer

  • Juszczak G.

For several years, cloud computing has been increasingly appearing in the global IT market, both in corporate infrastructure and among private users. In medium and large companies, they replace the current, not very flexible, poorly scalable and often expensive computer infrastructure, and in the case of small businesses, startups and ...

Physical Layer Security on Fiber-Optic MIMO-SDM Systems: an Overview

  • Cho J.
  • Guan K.
  • Winzer P.

Fiber-optic transmission systems provide large capacities over enormous distance but are vulnerable to simple eavesdropping attacks at the physical layer. We classify key-based and keyless encryption and physical layer security techniques and discuss them in the context of optical multiple-input-multiple-output space-division multiplexed (MIMO-SDM) fiber-optic communication systems. We show that MIMO-SDM ...

Learning process for reducing uncertainties on network parameters and design margins

  • Delezoide C.
  • Pesic J.
  • Pointurier Y.
  • Seve E.

Using monitored physical parameters in a learning process, we decrease design margins by reducing uncertainties on the input parameters of a Quality of Transmission (QoT) tool, improving the accuracy of the signal-to-noise ratio prediction.

A 0.25 - 1.7-GHz, 3.9 -13.7 mW Power-Scalable, -10-dBm Harmonic Blocker-Tolerant Mixer-First RF-to-Digital Receiver for Massive MIMO Applications

  • Alon E.
  • Lacaille G.
  • Lu P.
  • Narevsky N.
  • Niknejad A.
  • Nikolic B.
  • Puglielli A.
  • Trotskovsky K.
  • Wang Z.
  • Whitcombe A.
  • Wright G.

To be cost-effective and energy-efficient, massive multiple-input multiple-output (MIMO) arrays must be constructed from radio elements with low power and high linearity, but can tolerate higher noise than conventional stand-alone radios. This letter presents a low-power 0.25-1.7-GHz power- and resolution-scalable mixer-first receiver tailored for variable-element massive MIMO systems with digital ...