Compute-and-forward for the interference channel: Diversity precoding

Author

Khaleghi, Ehsan E. ; Belfiore, Jean-Claude

Author_Institution

Commun. & Electron. Dept, TELECOM ParisTech, Paris, France

fYear

2014

fDate

7-8 May 2014

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

approximation theory; channel capacity; diversity reception; lattice theory; multiuser channels; precoding; radio networks; radiofrequency interference; wireless channels; Diophantine approximation; K-user Gaussian symmetric interference channel capacity approximation; compute-and-forward transform; diversity precoding; golden ratio; interference alignment; lattice reduction; multiuser wireless communication systems; random behavior; wireless networks; Fading; Interference channels; Lattices; Matrix decomposition; Signal to noise ratio; Upper bound; Compute-and-forward; Diophantine approximation; lattice reduction; successive minima;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication and Information Theory (IWCIT), 2014 Iran Workshop on

Conference_Location

Tehran

Print_ISBN

978-1-4799-4878-9

Type

conf

DOI

10.1109/IWCIT.2014.6842498

Filename

6842498