Compute-and-Forward for the Interference Channel: Diversity Precoding

Ehsan Ebrahimi Khaleghi (1) , Jean-Claude Belfiore (1)

1 LTCI - Laboratoire Traitement et Communication de l'Information

Interference Alignment is a new solution to overcome the problem of interference in multiuser wireless communication systems. Recently, the Compute-and-Forward (CF) transform has been proposed to approximate the capacity of K-user Gaussian Symmetric Interference Channel and practically perform Interference Alignment in wireless networks. However, this technique shows a random behavior in the achievable sum-rate, especially at high SNR. In this work, the origin of this random behavior is analyzed and a novel precoding technique based on the Golden Ratio is proposed to scale down the fadings experiences by the achievable sum-rate at high SNR.

Mots clés: Compute-and-forward; lattice reduction; succes- sive minima; Diophantine approximation

Domaines: Réseaux et télécommunications [cs.NI]

Ehsan Ebrahimi Khaleghi, Jean-Claude Belfiore. Compute-and-Forward for the Interference Channel: Diversity Precoding. Iran Workshop on Communication and Information Theory (IWCIT), 2014, May 2014, Teheran, Iran. pp.1 - 6, ⟨10.1109/IWCIT.2014.6842498⟩. ⟨hal-01070584⟩