Interference alignment for uplink cellular systems with limited feedback

Sungyoon Cho, Kaibin Huang, Dongku Kim, Hanbyul Seo

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Assuming perfect channel state information, the existing interference alignment (IA) algorithm proposed in suppresses inter-cell interference (ICI) by aligning ICI to a randomly selected reference vector. However, IA in practice relies on limited feedback, resulting in residual ICI. In this letter, we propose the optimization of the reference vector for regulating the residual ICI. Specifically, it is shown that the reference vector that minimizes an upper bound on the residual ICI power is the eigenvector corresponding to the largest eigenvalue of the sum of the interference-channel matrices multiplied by their corresponding Hermitian matrices. Moreover, the performance gain of the proposed IA algorithm compared with the existing one in is analyzed and demonstrated by simulation to be significant.

Original languageEnglish
Article number6196151
Pages (from-to)960-963
Number of pages4
JournalIEEE Communications Letters
Volume16
Issue number7
DOIs
Publication statusPublished - 2012 May 11

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All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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