Related publications (344)

Physics-Inspired Methods for Networking and Communications

Rüdiger Urbanke

Advances in statistical physics relating to our understanding of large-scale complex systems have recently been successfully applied in the context of communication networks. Statistical mechanics methods can be used to decompose global system behavior int ...
Ieee-Inst Electrical Electronics Engineers Inc2014

Fluctuations and information filtering in coupled populations of spiking neurons with adaptation

Wulfram Gerstner, Tilo Schwalger, Richard Naud, Moritz Deger

Finite-sized populations of spiking elements are fundamental to brain function but also are used in many areas of physics. Here we present a theory of the dynamics of finite-sized populations of spiking units, based on a quasirenewal description of neurons ...
2014

Bootstrap Percolation in Power-Law Random Graphs

Léo Hamed Amini

A bootstrap percolation process on a graph is an "infection" process which evolves in rounds. Initially, there is a subset of infected nodes and in each subsequent round each uninfected node which has at least infected neighbours becomes infected and remai ...
Springer2014

Cooperative Relaying at Finite SNR-Role of Quantize-Map-and-Forward

Christina Fragouli, Ayan Sengupta, I-Hsiang Wang

This paper contributes to the design and analysis of Quantize-Map-and-Forward (QMF) relaying by optimizing its performance for small relay networks. QMF was proved to achieve the capacity of arbitrary networks within a bounded gap, as well as the optimal d ...
Ieee-Inst Electrical Electronics Engineers Inc2014

Specification of the cross nested logit model with sampling of alternatives for route choice models

Michel Bierlaire, Xinjun Lai

A novel approach is proposed to use the Cross Nested Logit (CNL) model in route choice when sampling of paths is considered. It adopts the Metropolis-Hasting algorithm to sample the choice sets for the model. A new expansion factor and an approximation met ...
2014

Electric Space Heating Scheduling for Real-time Explicit Power Control in Active Distribution Networks

Jean-Yves Le Boudec, Mario Paolone, Lorenzo Enrique Reyes Chamorro, Andrey Bernstein, Giuseppe Tommaso Costanzo

This paper presents a systematic approach for abstracting the flexibility of a building space heating system and using it within a composable framework for real-time explicit power control of microgrids and, more in general, active distribution networks. I ...
2014

Introduction to the issue on adaptation and learning over complex networks

Ali H. Sayed

The articles in this special issue report on up-to-date advances in the broad area of information processing over graphs. Due to the highly cross-disciplinary nature of complex networks, the technical articles in this April 2013 issue of the IEEE Journal o ...
IEEE2013

Adaptation and learning over complex networks [From the Guest Editors]

Ali H. Sayed

The topic of this special issue deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Discusses research and development in the area of the adaption and ...
IEEE2013

Self-shaping attractors for coupled limit cycle oscillators

Max-Olivier Hongler, Philippe Blanchard, Julio Rodriguez

We consider a complex network of N diffusively coupled stable limit cycle oscillators. Each individual system has its own set of local parameters Λ, characterizing its frequencies and the shape of limit cycle. The Λ are allowed, thanks to appropriate inter ...
Springer2013

Urban street networks, a comparative analysis of ten European cities

Emanuele Strano, Alessio Vincenzo Cardillo

We compare the structural properties of the street networks of ten different European cities using their primal representation. We investigate the properties of the geometry of the networks and a set of centrality measures highlighting differences and simi ...
Pion Ltd2013

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