• DocumentCode
    1136287
  • Title

    On the Densest MIMO Lattices From Cyclic Division Algebras

  • Author

    Vehkalahti, Roope ; Hollanti, Camilla ; Lahtonen, Jyrki ; Ranto, Kalle

  • Author_Institution
    Lab. of Discrete Math. for Inf. Technol., Turku Centre for Comput. Sci., Turku, Finland
  • Volume
    55
  • Issue
    8
  • fYear
    2009
  • Firstpage
    3751
  • Lastpage
    3780
  • Abstract
    It is shown why the discriminant of a maximal order within a cyclic division algebra must be minimized in order to get the densest possible matrix lattices with a prescribed nonvanishing minimum determinant. Using results from class field theory, a lower bound to the minimum discriminant of a maximal order with a given center and index (= the number of Tx/Rx antennas) is derived. Also numerous examples of division algebras achieving the bound are given. For example, a matrix lattice with quadrature amplitude modulation (QAM) coefficients that has 2.5 times as many codewords as the celebrated Golden code of the same minimum determinant is constructed. Also, a general algorithm due to Ivanyos and Ronyai for finding maximal orders within a cyclic division algebra is described and enhancements to this algorithm are discussed. Also some general methods for finding cyclic division algebras of a prescribed index achieving the lower bound are proposed.
  • Keywords
    MIMO communication; cyclic codes; matrix algebra; quadrature amplitude modulation; space-time codes; Golden code; MIMO lattices; QAM; class field theory; cyclic division algebra; quadrature amplitude modulation; Algebra; Antenna theory; Block codes; Diversity methods; Lattices; MIMO; Mathematics; Quadrature amplitude modulation; Symmetric matrices; Wireless communication; Cyclic division algebras (CDAs); Hasse invariants; dense lattices; discriminants; maximal orders; multiple-input multiple-output (MIMO) channels; multiplexing; space–time block codes (STBCs);
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2009.2023713
  • Filename
    5165177