Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. An Iterative Algorithm for Joint Signal and Interference Alignment
 
conference paper

An Iterative Algorithm for Joint Signal and Interference Alignment

Kumar, K. Raj
•
Xue, Feng
2010
2010 IEEE International Symposium On Information Theory
2010 IEEE International Symposium on Information Theory

We consider the problem of signal design for transmission over an interference channel, along the lines of the recently proposed strategy of Interference Alignment. In the framework of interference alignment, each receiver maintains an interference subspace. The transmitters shape their transmissions such that all the interference seen at a particular receiver falls into its interference subspace, hence allowing the remaining receiver space to be used for reception of the useful signal. In contrast to previously proposed iterative interference alignment algorithms for the general interference channel, our proposed technique not only minimizes the interference power that is spilled outside the interference subspace, but also minimizes the signal power that is spilled over into the interference subspace. A weighted optimization technique is proposed to tradeoff between the relative importance associated with the leakage interference and the leakage signal powers. It is proven that the algorithm converges monotonically, and simulation results reveal that the proposed technique outperforms other known algorithms in terms of throughput. Further discussions on generalizing the algorithm are also presented.

  • Details
  • Metrics
Type
conference paper
DOI
10.1109/ISIT.2010.5513646
Web of Science ID

WOS:000287512700461

Author(s)
Kumar, K. Raj
Xue, Feng
Date Issued

2010

Publisher

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa

Published in
2010 IEEE International Symposium On Information Theory
Start page

2293

End page

2297

Subjects

Channel

•

Region

Editorial or Peer reviewed

NON-REVIEWED

Written at

EPFL

EPFL units
ALGO  
Event nameEvent placeEvent date
2010 IEEE International Symposium on Information Theory

Austin, TX

Jul 13, 2010

Available on Infoscience
December 16, 2011
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/74762
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés