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INFOCOM
2012
IEEE
11 years 7 months ago
Squeezing the most out of interference: An optimization framework for joint interference exploitation and avoidance
—There is a growing interest in exploiting interference (rather than avoiding it) to increase network throughput. In particular, the so-called successive interference cancellatio...
Canming Jiang, Yi Shi, Y. Thomas Hou, Wenjing Lou,...
CORR
2008
Springer
104views Education» more  CORR 2008»
13 years 4 months ago
A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
Darryl Dexu Lin, Teng Joon Lim
JSAC
2011
185views more  JSAC 2011»
12 years 11 months ago
Joint Dynamic Resource Allocation and Waveform Adaptation for Cognitive Networks
This paper investigates the issue of dynamic resource allocation (DRA) in the context of multiuser cognitive radio networks. We present a general framework adopting generalized si...
Zhi Tian, Geert Leus, Vincenzo Lottici
TNN
2010
234views Management» more  TNN 2010»
12 years 11 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes