Optimizing Optical Interconnects: Digital Predistortion and Postequalization Techniques in Optical Communications

For the past few decades, we have witnessed explosive growth in data consumption in our everyday lives. While consumers rely more and more on wireless connections to obtain all these data, backbone data networks and infrastructures now depend largely on optical connectivity.

Per-sample Prediction Intervals for Extreme Learning Machines

Prediction Intervals in supervised Machine Learning bound the region where the true outputs of new samples may fall. They are necessary for separating reliable predictions of a trained model from near random guesses, minimizing the rate of False Positives, and for other problem-specific tasks in applied Machine Learning. Stochastic projection ...

Silver Tarnishing Mechanism Revealed by Molecular Dynamics Simulations

KGaA, Weinheim The mechanism of silver?oxygen and silver?sulfur reactions is revealed by means of molecular dynamics simulations, performed with reactive force fields purposely built and extensively tested against quantum-chemical results. Different reaction mechanisms and rates for Ag?O and Ag?S emerge. This study solves the long-lasting question why silver exposed to ...

A Framework for Privacy Quantification: Measuring the Impact of Privacy Techniques Through Mutual Information, Distance Mapping, and Machine Learning

In this paper, we propose to investigate how the effects of privacy techniques can be practically assessed in the specific context of data anonymization, and present some possible tools for measuring the effects of such anonymization. We develop an approach using mutual information for measuring the information content in any ...

A vision for adaptive and generalizable audio-sensing systems

We present our vision and key research directions for next generation audio and speech-sensing systems, to make them robust against variabilities in sensing hardware and operating conditions.

System Level Performance Characteristics of Sub-6GHz Massive MIMO Deployments with the 3GPP New Radio

3GPP has completed the first phase of the standardization of 5G cellular systems covering bands up to 52.6 GHz. The 3GPP Rel-15 New Radio standard provides a comprehensive framework for supporting massive MIMO in a wide variety of use cases and deployment scenarios. The NR-MIMO framework supports large scale antenna ...

Cauchy difference priors for edge-preserving Bayesian inversion

© 2019 Walter de Gruyter GmbH, Berlin/Boston 2019. We consider inverse problems in which the unknown target includes sharp edges, for example interfaces between different materials. Such problems are typical in image reconstruction, tomography, and other inverse problems algorithms. A common solution for edge-preserving inversion is to use total variation ...

Transport evolution for the RAN of the future [Invited]

Fifth-generation (5G) systems will introduce several new requirements impacting the mobile transport network. Understanding the impact of 5G systems on trans­port networks, both wireless and fixed, is essential to the successful introduction of 5G. This paper provides an over­view of the ongoing work supporting the specification of open interfaces between ...

An O(NlogN) algorithm for clustering mixture of two Gaussians

Mixtures of Gaussians are ubiquitous for modeling high dimensional data. In this paper we tackle the problem of clustering to recover the assignment of points to different Gaussians. We show that in the 2-Gaussian mixture a very efficient algorithm can be used to cluster the data in 1D while using ...

Transparent AR Processing Acceleration at the Edge

Mobile devices are increasingly capable of supporting advanced functionalities but still face fundamental resource limitations. While the development of custom accelerators for artificial intelligence functions is progressing, precious battery life and quality vs. latency trade-offs are limiting the potential of applications relying on real-time processing, such as Augmented Reality (AR). ...

Automatic Smile and Frown Recognition with Kinetic Earables

In this paper, we introduce inertial signals obtained from an ear- able placed in the ear canal as a new compelling sensing modality for recognising two key facial expressions: smile and frown. Bor- rowing principles from Facial Action Coding Systems (FACS), we first demonstrate that an inertial measurement unit of ...

Dynamic Switch Migration in Distributed Software-Defined Networks to Achieve Controller Load Balance

© 1983-2012 IEEE. Multiple distributed controllers have been used in software-defined networks (SDNs) to improve scalability and reliability, where each controller manages one static partition of the network. In this paper, we show that dynamic mapping between switches and controllers can improve efficiency in managing traffic load variations. In particular, ...

Adiabatic mode converters for silicon photonics: Power and polarization broadband manipulators

Broadband, low-loss, and fabrication-tolerant photonic passives are of paramount importance in any photonic integrated circuit (PIC). Among others, the adiabatic couplers can have those merits premised on their one-to-one mode transformation characteristics. These devices are usually designed comprising linear waveguide tapers and have typical lengths of 1 mm, in order ...

Lightweight Security for the Internet of Things: A Soft Introduction to Physical Unclonable Functions

© 1988-2012 IEEE. It is clearly redundant to extensively discuss the upcoming era of 5G and pervasive computing or, in other words, the Internet of Things (IoT). Scientific and industrial communities have been analyzing the design challenges, architectures, and security requirements of our brandnew, all-connected world for quite some time ...

Accurate quality of transmission estimation with machine learning

In optical transport networks the quality of transmission (QoT) is estimated before provisioning new connections or upgrading existing ones. Traditionally, a physical layer model (PLM) is used for QoT estimation coupled with high margins to account for the model inaccuracy and the uncertainty in the evolving physical layer conditions. Reducing ...

Measurements of Beamswitching Gains and Fade Dynamics for 28 GHz Indoor Static Links in the Presence of Pedestrian Traffic

We measured channel dynamics for fixed wireless indoor channels at 28 GHz. We characterize pedestrian-induced fades in open indoor spaces and the effectiveness of beamswitching to mitigate them. We find that fades of the dominant propagation path may be as deep as 9 dB at the 90th percentile and that ...

Lightweight Security for the IoT: a soft introduction to Physical Unclonable Functions

It is clearly redundant to extensively discuss the upcoming era of 5G and pervasive computing or, in other words, the Internet of Things (IoT). Scientific and industrial communities have been analyzing the design challenges, architectures, and security requirements of our brandnew, all-connected world for quite some time now, and standardization ...

Efficient algorithms for coded multicasting in heterogeneous caching networks

Coded multicasting has been shown to be a promising approach to significantly improve the performance of content delivery networks with multiple caches downstream of a common multicast link. However, the schemes that have been shown to achieve order-optimal performance require content items to be partitioned into several packets that grows ...

Capacity Scaling of Wireless Networks: Protocol Limited or Model Limited?

Given a large wireless network deployed within an area, where each node wants to transmit to a random destination node within the network at some given rate, how fast can the sum rate grow as the number of nodes scales up? Previous work have shown that, multi-hop routing provides a ...