• DocumentCode
    179613
  • Title

    Convex separable problems with linear and box constraints

  • Author

    D´Amico, Antonio A. ; Sanguinetti, Luca ; Palomar, Daniel P.

  • Author_Institution
    Dipt. di Ing. dell´Inf., Univ. of Pisa, Pisa, Italy
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    5641
  • Lastpage
    5645
  • Abstract
    In this work, we focus on separable convex optimization problems with linear and box constraints and compute the solution in closed-form as a function of some Lagrange multipliers that can be easily computed in a finite number of iterations. This allows us to bridge the gap between a wide family of power allocation problems of practical interest in signal processing and communications and their efficient implementation in practice.
  • Keywords
    convex programming; signal processing; Lagrange multiplier; box constraint; closed-form solution; convex separable problem; linear constraint; power allocation problem; separable convex optimization problem; signal processing; Convex functions; Equations; MIMO; Optimization; Quality of service; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854683
  • Filename
    6854683