Linear Transceiver Design for Interference Alignment: Complexity and Computation

Abstract

Consider a MIMO interference channel whereby each transmitter and receiver are equipped with multiple antennas. The basic problem is to design optimal linear transceivers (or beamformers) that can maximize system throughput. The recent work [1] suggests that optimal beamformers should maximize the total degrees of freedom and achieve interference alignment in high SNR. In this paper we first consider the interference alignment problem in spatial domain and prove that the problem of maximizing the total degrees of freedom for a given MIMO interference channel is NP-hard. Furthermore, we show that even checking the achievability of a given tuple of degrees of freedom for all receivers is NP-hard when each receiver is equipped with at least three antennas. Interestingly, the same problem becomes polynomial time solvable when each transmit/receive node is equipped with no more than two antennas. Finally, we propose a distributed algorithm for transmit covariance matrix design, while assuming each receiver uses a linear MMSE beamformer. The simulation results show that the proposed algorithm outperforms the existing interference alignment algorithms in terms of system throughput.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2010
Accession Number
ADA534680

Entities

People

  • Maziar S. Boroujeni
  • Meisam Razaviyayn
  • Zhi-quan Luo

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Channel State Information
  • Cognitive Radio
  • Communication Systems
  • Composite Materials
  • Computational Science
  • Covariance
  • Eigenvalues
  • Eigenvectors
  • Frequency
  • Multiple Access
  • Multiple Input Multiple Output
  • Simulations
  • Standards
  • Transceivers
  • Transmitters
  • Wireless Networks

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Phased Array Antenna Design.
  • Radio communications and signal processing.