Frequency Characteristics of Geometry-based Clusters in Indoor Hall Environment at SHF Bands

This paper presents the analysis of geometry-based cluster frequency dependency at super high frequency (SHF) bands, which are 3, 10 and 28 GHz. Firstly, multipath components (MPCs) were extracted from the measured data by using space alternating generalized expectation maximization (SAGE) algorithm. Then, geometry-based clusters were estimated by using the ...

Digital Upstream Crosstalk Cancellation for~Future Generation TWDM-PON Systems

We experimentally demonstrate a multiple-input multiple-ouput scheme for compensating crosstalk in the upstream direction of TWDM-PON systems. The scheme relaxes the receiver filter isolation requirements by up to 8 dB, enabling narrower channel spacings.

Beyond the display: Phase-only liquid crystal on Silicon devices and their applications in photonics [Invited]

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement Existing for almost four decades, liquid crystal on Silicon (LCOS) technology is rapidly growing into photonic applications. We review the basics of the technology, from the wafer to the driving solutions, the progress over ...

Import2vec: Learning embeddings for Software Libraries

We consider the problem of developing suitable machine learning representations for software libraries. From other fields that heavily use machine learning we know such representations are key to the performance of downstream learning tasks. For instance, in natural language processing (NLP) the use of word embeddings ("word vectors") enables machine ...

Anticipatory Resource Allocation and Trading in a Sliced Network

Dynamically sharing the network resources in a sliced multi-tenant network can provide cost efficient solutions that are able to guarantee specific service requirements for 5G and beyond networks. By automatizing the negotiations between tenants and infrastructure providers over the shared resources, it is possible to maximize the flexibility of the ...

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.

The next generation platform as a service: Composition and deployment of platforms and services

The emergence of widespread cloudification and virtualisation promises increased flexibility, scalability, and programmability for the deployment of services by Vertical Service Providers (VSPs). This cloudification also improves service and network management, reducing the Capital and Operational Expenses (CAPEX, OPEX). A truly cloud-native approach is essential, since 5G will provide a ...

Digital predistortion and post equalization techniques in optical communications

Introduction For the past few decades, we have witnessed explosive growth in data consumption in our everyday life. While the consumers have been reaching out to such data more and more in wireless connection, the backbone data networks and infrastructures have been largely enabled and transformed by 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 ...

Network Slices Life-Cycle Management Towards Automation

We present a methodology for network slices life- cycle management and orchestration considering end-to-end network slices. The operations of the proposed life-cycle are studied one by one to provide a global view applicable to different scenarios. The proposed solution is based on software modeling of resources and services that allows ...

eZTrust: Network-Independent Zero-Trust Perimeterization for Microservices

Emerging microservices-based workloads introduce new security risks in today's data centers as attacks can propagate laterally within the data center relatively easily by exploiting cross-service dependencies. As countermeasures for such attacks, traditional perimeterization approaches, such as network-endpoint-based access control, do not fare well in highly dynamic microservices environments (especially considering ...

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 ...

Joint alpha-fairness based power allocation and user encoding ordering for zero-forcing nonlinear precoding in G.fast downstream transmission

In next generation digital subscriber line (DSL) systems, like G.fast that exploits high frequencies up to 212 MHz, the crosstalk levels among lines (i.e. users) get increasingly stronger. To precompensate the crosstalk in downstream transmission, nonlinear precoding (NLP) is proposed as a near-optimal dynamic spectrum management (DSM) technique. However, existing ...

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). ...