• DocumentCode
    247504
  • Title

    Performance analysis for distributed antenna systems based on random matrix theory

  • Author

    Ang Yang ; Chengwen Xing ; Zesong Fei ; Jingming Kuang

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    19-21 Nov. 2014
  • Firstpage
    389
  • Lastpage
    393
  • Abstract
    In this paper, we analyze the performance of distributed antenna systems (DASs) using random matrix theory. We consider the scenarios that the antennas of the terminals are distributed geographically in the coverage instead of being installed nearby each other, e.g. the high-speed railway networks and the high-altitude platform networks. Thus the variances of the entries in the considered channel matrix, named as unequal-covariance Wishart matrix, are different from each other. To the best of the authors´ knowledge, the work on random matrices with elements having different variances is largely open, which is of great importance for DASs. In our work, some results on the eigenvalue distributions of the unequal-covariance Wishart matrix are derived. Then based on these conclusions the outage probability of the considered DAS over Rayleigh fading channels is derived. Finally, the accuracy of our analytical results is assessed by numerical results.
  • Keywords
    Rayleigh channels; antenna arrays; covariance matrices; eigenvalues and eigenfunctions; probability; railway communication; DAS; Rayleigh fading channels; channel matrix; distributed antenna systems; eigenvalue distributions; high-altitude platform networks; high-speed railway networks; outage probability; random matrix theory; unequal-covariance Wishart matrix; Antenna arrays; Covariance matrices; Eigenvalues and eigenfunctions; Linear matrix inequalities; Receiving antennas; Vectors; Distributed antenna systems; random matrix theory; unequal-covariance Wishart matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems (ICCS), 2014 IEEE International Conference on
  • Conference_Location
    Macau
  • Type

    conf

  • DOI
    10.1109/ICCS.2014.7024831
  • Filename
    7024831