Joint Frobenius norm and reweighted nuclear norm minimization for interference alignment

Huiqin Du, Tharm Ratnarajah, Mathini Sellathurai, Constantinos B. Papadias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper considers a K-user multiple-input multiple-output (MIMO) interference channel in which uncoordinated interference appears. Due to the uncoordinated interference, perfect interference alignment (IA) may be not attained, which indicates the interference subspaces can not be completely aligned. The rank constrained rank minimization (RCRM) framework has been recently developed to minimize the rank of the subspace spanned by interference signals with full rank constraint on the direct signal space. To solve this non-convex and intractable problem, we introduce a log-sum function as an approximation surrogate and develop a joint Frobenius norm and reweighted nuclear norm approach which jointly enhances the sum rate at low-to-moderate signal-to-noise ratio (SNR) and the achievable multiplexing gain per user in the high SNR regime. The optimum solutions are iteratively achieved with the convergence guaranteed. Simulation results are presented to validate the effectiveness of the proposed reweighted nuclear norm algorithm and its further development.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
Number of pages5
ISBN (Print)9781467331227
Publication statusPublished - 2013
Event2013 IEEE International Conference on Communications - Budapest, Hungary, Budapest, Hungary
Duration: 9 Jun 201313 Jun 2013


Conference2013 IEEE International Conference on Communications
Abbreviated titleICC 2013

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications


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