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TON
2008
98views more  TON 2008»
15 years 5 months ago
A unified framework for multipath routing for unicast and multicast traffic
We study the problem of load balancing the traffic from a set of unicast and multicast sessions. The problem is formulated as an optimization problem. However, we assume that the g...
Tuna Güven, Richard J. La, Mark A. Shayman, B...
CORR
2010
Springer
107views Education» more  CORR 2010»
15 years 4 months ago
Distributed Detection over Time Varying Networks: Large Deviations Analysis
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
Dragana Bajovic, Dusan Jakovetic, João Xavi...
SAB
2010
Springer
226views Optimization» more  SAB 2010»
15 years 4 months ago
Distributed Online Learning of Central Pattern Generators in Modular Robots
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
David Johan Christensen, Alexander Spröwitz, ...
ICC
2011
IEEE
205views Communications» more  ICC 2011»
14 years 5 months ago
Decentralized Cross-Tier Interference Mitigation in Cognitive Femtocell Networks
—In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main re...
Mehdi Bennis, Samir Medina Perlaza
GLOBECOM
2006
IEEE
15 years 12 months ago
Power Optimal Opportunistic Scheduling
Abstract— In this paper, we propose a power optimal opportunistic scheduling scheme for a multiuser single hop Time Division Multiple Access (TDMA) system. We formulate the probl...
Abhijeet Bhorkar, Abhay Karandikar, Vivek S. Borka...