• DocumentCode
    43524
  • Title

    Adaptive Power Allocation for HARQ with Chase Combining in Correlated Rayleigh Fading Channels

  • Author

    Chaitanya, T.V.K. ; Larsson, Erik G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
  • Volume
    3
  • Issue
    2
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    169
  • Lastpage
    172
  • Abstract
    We consider the problem of minimizing the packet drop probability (PDP) under an average transmit power constraint for Chase combining (CC)-based hybrid-automatic repeat request (HARQ) schemes in correlated Rayleigh fading channels. We propose a method to find a solution to the non-convex optimization problem using an exact expression of the outage probability. However, the complexity of this method is high. Therefore, we propose an alternative approach in which we use an asymptotically equivalent expression for the outage probability and reformulate it as a geometric programming problem (GPP), which can be efficiently solved using convex optimization algorithms.
  • Keywords
    Rayleigh channels; automatic repeat request; channel allocation; concave programming; convex programming; geometric programming; probability; CC; GPP; HARQ; PDP; adaptive power allocation; asymptotically equivalent expression; average transmit power constraint; chase combining; convex optimization algorithm; correlated Rayleigh fading channel; geometric programming problem; hybrid-automatic repeat request scheme; nonconvex optimization problem; outage probability; packet drop probability; Approximation methods; Automatic repeat request; Correlation; Fading; Gain; Optimization; Resource management; HARQ; correlated fading; diversity combining; geometric programming; power allocation;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/WCL.2013.122113.130793
  • Filename
    6697940