58 citations · 146 across the 28 of their papers we have counts for
8 papers · 1 filter
Distributed Stochastic Approximation for Constrained and Unconstrained Optimization
Pascal Bianchi, Jérémie Jakubowicz
In this paper, we analyze the convergence of a distributed Robbins-Monro algorithm for both constrained and unconstrained optimization in multi-agent systems. The algorithm searche…
High-Rate Vector Quantization for the Neyman-Pearson Detection of Correlated Processes
Joffrey Villard, Pascal Bianchi
This paper investigates the effect of quantization on the performance of the Neyman-Pearson test. It is assumed that a sensing unit observes samples of a correlated stationary ergo…
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
Joffrey Villard, Pascal Bianchi, Eric Moulines +1
This paper investigates the decentralized detection of Hidden Markov Processes using the Neyman-Pearson test. We consider a network formed by a large number of distributed sensors.…
Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks
Nassar Ksairi, Pascal Bianchi, Philippe Ciblat
In this paper, we propose a resource allocation algorithm for the downlink of sectorized two-dimensional (2-D) OFDMA cellular networks assuming statistical Channel State Informatio…
Neyman-Pearson Detection of a Gaussian Source using Dumb Wireless Sensors
Pascal Bianchi, Jeremie Jakubowicz, Francois Roueff
We investigate the performance of the Neyman-Pearson detection of a stationary Gaussian process in noise, using a large wireless sensor network (WSN). In our model, each sensor com…
Performance Analysis over Slow Fading Channels of a Half-Duplex Single-Relay Protocol: Decode or Quantize and Forward
Nassar Ksairi, Philippe Ciblat, Pascal Bianchi +1
In this work, a new static relaying protocol is introduced for half duplex single-relay networks, and its performance is studied in the context of communications over slow fading w…