Anticipatory resource allocation in wireless networks

  • Malanchini I.

Anticipatory resource allocation in wireless networks, presentation for the "47. meeting of the VDE/ITG-Fachgruppe 5.2.4"

ACT-5G project

  • Malanchini I.

The poster will be used during the student day at Future X Day event in Stuttgart to advertise a granted European project that will fund four Ph.D. students. The Ph.D. students will spend half of their time in ALU Stuttgart.

Context-Aware Quality and Resource Allocation for Mobile Video

  • Malanchini I.
  • Valentin S.

Context-Aware Quality and Resource Allocation for Mobile Video Poster for Future X Days in Stuttgart

Context-Aware Radio Access - Smarter Networks for 5G

  • Kuehn E.
  • Malanchini I.

5G network optimization will be driven by the user-centric paradigm. Users have different demands on the radio network depending on where they are, which device they use, and which service they currently need. The network should adapt to user requirements rather than forcing the user to adapt to the network.

A Context-Aware Radio Access for 5G (CARA-5G)

  • Malanchini I.
  • Valentin S.

See how predicting user context can improve mobile experience and spectral efficiency at the same time (Stuttgart Future X Day Booklet for Context-Aware radio Access in 5G Networks)

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation

  • Perez-Cruz F.
  • Ruiz F.
  • Svensson L.
  • Valera I.

New communication standards need to deal with machine-to-machine communications, in which users may start or stop transmitting at any time in an asynchronous manner. Thus, the number of users is an unknown and time-varying parameter that needs to be accurately estimated in order to properly recover the symbols transmitted by ...

Infinite Factorial Dynamical Model

  • Perez-Cruz F.
  • Ruiz F.
  • Svensson L.
  • Valera I.

We propose the infinite factorial dynamic model (iFDM), a general Bayesian nonparametric model for source separation. Our model builds on the Markov Indian buffet process to consider a potentially unbounded number of hidden Markov chains (sources) that evolve independently according to some dynamics, in which the state space can be ...

Infinite Mixture of Global Gaussian Processes

  • Perez-Cruz F.
  • Pradier M.

In this paper, we propose a simple and powerful approach to solve nonlinear regression problems using an infinite mixture of global Gaussian processes (IMoGGP). Our method is able to deal with arbitrary output distributions, nonstationary signals, heteroscedastic noise and multimodal predictive distributions straightforwardly, without the modeler needing to know these ...

Expectation Propagation Soft-Inference for Large Scale MIMO Turbo Receivers

  • Cespedes J.
  • Olmos P.
  • Perez-Cruz F.
  • Sanchez-Fernandez M.

Modern communications systems use efficient encoding schemes, multiple-input multiple-output (MIMO) and high-order QAM constellations for maximizing spectral efficiency. However, as the dimensions of the system grow, the design of efficient and low-complexity MIMO receivers possesses technical challenges. Symbol detection can no longer rely on conventional approaches for posterior probability computation ...

A BAYESIAN NONPARAMETRIC APPROACH FOR BLIND MULTIUSER CHANNEL ESTIMATION

  • Perez-Cruz F.
  • Ruiz J.
  • Svensson L.
  • Valera I.

In many modern multiuser communication systems, users are allowed to enter and leave the system at any given time. Thus, the number of active users is an unknown and time-varying parameter, and the performance of the system depends on how accurately this parameter is estimated over time. We address the ...

Bayesian Nonparametrics for Marathon Modeling

  • Perez-Cruz F.
  • Pradier M.
  • Ruiz F.

Bayesian nonparametric (BNP) models present several desirable properties. Their most recognizable benefit is the ability of avoiding the need to specify a closed model and letting the data choose the model (or models) that describe it best, in order to provide competitive predictions [6]. In this paper, we focus instead ...

A Nonparametric Bayesian model for the Multiple Annotators problem

  • Artes-Rodriguez A.
  • G-Moreno P.
  • Perez-Cruz F.

We propose a generative classification algorithm for a multiple annotators problem, in which the training examples have been simultaneously labeled by a set of imperfect annotators. This algorithm allows us to infer the characteristics (sensitivity and specificity) of each annotator, the ground truth of the training set and build a ...

Novel bitloading algorithms for coded G.fast DSL transmission with linear and nonlinear precoding

  • Bastos Moraes Rodrigo
  • Coomans W.
  • Guenach M.
  • Julie N.
  • Maes J.
  • Marc M.
  • Tsiaflakis P.

Precoding is a technique that counteracts the crosstalk in downlink DSL transmission. While linear precoding is adequate in VDSL2 because of the moderate crosstalk environment, this might no longer be the case in G.fast, which uses higher frequencies and therefore is affected by higher crosstalk levels. In this contribution we ...

Analysis of pre-equalized multilevel partial response schemes for high-speed electrical interconnects

  • Guenach M.
  • Jacobs L.
  • Kozicki B.
  • Moeneclaey M.

In this paper we complement the overview of the basic baseband modulation in high-speed electrical interconnects by a detailed analysis of the equalization. We present a mathematical framework for the equalization and elaborate on different equalization aspects. We discuss the interplay between the choice of modulation and the equalization on ...

DOCSIS Small Cell Backhaul

  • Glapa M.

Presentation at ANGACom that discusses key backhaul and small cell requirements for Cable/MSOs in Europe

Repeated CTD -- Unleashing the Potential in Multiple Testing Iterations

  • Segall I.

Test design is the process of planning and designing the tests to be performed on a software system. The time scale at which organizations perform and modify their test design is typically orders of magnitude larger than that of development, especially in modern agile development processes. As a result, often ...

Multi-Objective Data Placement for Multi-Cloud Socially Aware Services

  • Du W.
  • Fu X.
  • Jiao L.
  • Li J.

Socially aware services are services where users form social relationships and interact with one another, which often have a large user base and every user's data have to be partitioned and replicated over multiple geographically distributed clouds. Choosing which cloud to place data, however, is difficult. Effective data placements entail ...

DualQ Coupled AQM for Low Latency, Low Loss and Scalable Throughput

  • De Schepper K.
  • Tsang I.

Data Centre TCP (DCTCP) was designed to provide predictably low queuing latency, near-zero loss, and throughput scalability using explicit congestion notification (ECN) and an extremely simple marking behaviour on switches. However, DCTCP does not co-exist with existing TCP traffic---throughput starves. So, until now, DCTCP could only be deployed where a ...

'Data Centre to the Home': Ultra-Low Latency for All

  • Bondarenko O.
  • Briscoe B.
  • De Schepper K.
  • Tsang I.

Data Centre TCP (DCTCP) was designed to provide predictably low queuing latency, near-zero loss, and throughput scalability using explicit congestion notification (ECN) and an extremely simple marking behaviour on switches. However, DCTCP does not co-exist with existing TCP traffic - throughput starves. So, until now, DCTCP could only be deployed ...

Demonstration of Bandwidth Maximization between Flexi/Fixed Grid Optical Networks with Real-Time BVTs

  • Ali Hammad
  • Dimitra Simeonidou
  • Dupas A.
  • Emilio Hugues-Salas
  • George Saridis
  • Georgios Zervas
  • Layec P.
  • Reza Nejabati
  • Sarvesh Bidkar
  • Shuangyi Yan
  • Yan Yan
  • Yi Shu

Real-Time SDN-based BVTs enable fine baud-rate tunability to combat the filtering effect in fixed-grid optical network for interoperability between fixed-grid/flexigrid. The SDN controller manages BVTs to maximize the link capacity for bandwidth maximization.