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Accueil > News du laboratoire > Séminaire Digiteo, Mardi 9 sept. 2014, 14h30, SupElec, Amphi F03-05
Séminaire Digiteo, Mardi 9 sept. 2014, 14h30, SupElec, Amphi F03-05
Séminaire Digiteo, Mardi 9 sept. 2014, 14h30, SupElec, Amphi F03-05 Séminaire Digiteo, Mardi 9 sept. 2014, 14h30, SupElec, Amphi F03-05
09 septembre 2014

Fundamental limits of cooperative interference networks,
Daniela TUNINETTI, CR CNRS, Leader of the emergence project " IndexCod", Labex Digicosme
Conférence en partenariat avec Digicosme

The bottleneck of today’s wireless networks is interference. The solution of commercial available networks is to avoid interference through division of resources (such as time, spectrum, space, waveform, etc.) among the competing users. This approach results in simple network architectures. It is also a theoretically optimal solution in the up-link and down-link of single-cell cellular systems with single antenna nodes in presence of fading when throughput maximization is the design goal. Perfect orthogonalization of users is however not possible in practice, in which case the residual interference is usually treated it as noise. ;It has become apparent however that interference avoidance and treating interference as noise are highly suboptimal in interference networks.Retour ligne automatique
For example, when the power imbalance between the useful signal and the interfering signal at a destination is large enough, a receiver can first decode the interfering signal by treating its own signal as noise, and then decode its signal as in an interference-free channel. Retour ligne automatique
More generally, it is possible to consolidate the aggregate interference into roughly half of the receiver available degrees of freedom and thus each user achieves half the rate it would get if it were alone on the network, irrespectively of the number of interferers. Moreover, node cooperation further improve on the overall network interference management problem. With these observations in mind, much progress has been made recently in understanding the ultimate performance limits of interference networks.

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