—Networks need to accommodate diverse applications with different Quality-of-Service (QoS) requirements. New ideas at the physical layer are being developed for this purpose, suc...
Ying Li, Mung Chiang, A. Robert Calderbank, Suhas ...
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
— We present a crosslayer framework for optimizing the performance of wireless networks as measured by applications or upper layer protocols. The approach combines adaptive modul...
Daniel O'Neill, Andrea J. Goldsmith, Stephen P. Bo...
In this paper, we address the problem of content placement in peer-to-peer systems, with the objective of maximizing the utilization of peers' uplink bandwidth resources. We ...
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...