On feasibility of interference alignment in MIMO interference networks

  • Authors:

  • Cenk M. Yetis;Tiangao Gou;Syed A. Jafar;Ahmet H. Kayran

  • Affiliations:

  • Informatics Institute, Satellite Communications and Remote Sensing, Istanbul Technical University, Maslak, Istanbul, Turkey;Electrical Engineering and Computer Science, University of California, Irvine, CA;Electrical Engineering and Computer Science, University of California, Irvine, CA;Department of Electronics and Communications Engineering, Istanbul Technical University, Maslak, Istanbul, Turkey

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 2010

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Abstract

We explore the feasibility of interference alignment in signal vector space-based only on beamforming-for K-user MIMO interference channels. Our main contribution is to relate the feasibility issue to the problem of determining the solvability of a multivariate polynomial system which is considered extensively in algebraic geometry. It is well known, e.g., from Bezout's theorem, that generic polynomial systems are solvable if and only if the number of equations does not exceed the number of variables. Following this intuition, we classify signal space interference alignment problems as either proper or improper based on the number of equations and variables. Rigorous connections between feasible and proper systems are made through Bernshtein's theorem for the case where each transmitter uses only one beamforming vector. The multibeam case introduces dependencies among the coefficients of a polynomial system so that the system is no longer generic in the sense required by both theorems. In this case, we show that the connection between feasible and proper systems can be further strengthened (since the equivalency between feasible and proper systems does not always hold) by including standard information theoretic outer bounds in the feasibility analysis.