Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
Abstract. Aiming at a realistic mobile connectivity model for vehicular sensor networks in urban environments, we propose the combination of large-scale traffic simulation and comp...
-- We present a new class of finite queues in cyclic networks with production blocking. We show that with a threshold property related to the number of customers in the network, th...
A large variety of communication systems, including telephone and data networks, can be represented by so-called Whittle networks. The stationary distribution of these networks is...
Thomas Bonald, Matthieu Jonckheere, Alexandre Prou...
We compare the performance of three usual allocations (max-min fairness, proportional fairness and balanced fairness) in a communication network whose resources are shared by a ra...