This domain of research is expanding very fast.Â Members of LINCS played a pioneering role in developing spatialÂ stochastic models of wireless networks. The approach consists inÂ casting information-theoretic principles of communications Â intoÂ a random geometric context in order to obtain adequateÂ stochastic-geometric or graph-theoretic models of wirelessÂ networks. More complete models integrate also a temporal dimension,Â e.g. representing Â user-traffic. Space-time analysis of these modelsÂ requires also appropriate tools from queueing theory.
The whole Â approach allows for a macroscopic analysis ofÂ large wireless networks, and is particularly appropriate for network dimensioning.Â It make evident important theoretic limitations of wireless communication networks.
Regarding international collaborations, weÂ have strong relations with the University of California Berkeley,Â Stanford University, UT Austin (J. Andrews, G. de Veciana, S. Shakkottai),Â IIT Madras. Â We have also a few strong industrial (telecom) partnersÂ (Qualcomm, Sprint, Orange) outside LINCS.