• DocumentCode
    2026893
  • Title

    Energy efficient predictive AMC with adaptive SNR-based power allocation in MIMO radio networks

  • Author

    Liang, Ying-Hsin ; Chang, Ben-Jye ; Hwang, Ren-Hung ; Tsai, Tzung-Shiun

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nan Kai Univ. of Technol., Taiwan
  • fYear
    2011
  • fDate
    10-11 June 2011
  • Firstpage
    66
  • Lastpage
    70
  • Abstract
    To achieve high data rate and reliability, the multiple-input and multiple-out (MIMO) scheme has been proposed while enabling compatible with the existing wireless networks. However, MIMO suffers from high mobility, inefficient power allocation and various-type of wireless interferences, because the quality of wireless-channels in MIMO significantly affects the determination of modulation and coding scheme (MCS) and the system capacity. The power efficiency, system capacity and the MCS selection are thus degraded significantly. This paper thus proposed a predictive MCS selection with adaptive MIMO power allocation to achieve high system capacity and power efficiency, while overcoming these disadvantages. Additionally, an MCS hysteresis scheme is proposed to avoid unnecessary MCS change and to minimize the overhead of changing MCSs. Numerical results indicate that the proposed approach significantly outperforms the compared approaches in system capacity, the probability of MCS change, and the accuracy of MCS determination.
  • Keywords
    MIMO communication; adaptive codes; adaptive modulation; quality of service; radio networks; resource allocation; telecommunication network reliability; MIMO radio networks; adaptive MIMO power allocation; adaptive modulation and coding scheme; energy efficient predictive AMC; multiple-input multiple-out scheme; quality of wireless-channels; system capacity; telecommunication network reliability; wireless interferences; wireless networks; Adaptive systems; MIMO; Modulation; Polynomials; Resource management; Signal to noise ratio; Wireless communication; MIMO; Predictive AMC; SNR-based power allocation; system capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2011 IEEE 16th International Workshop on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-61284-281-3
  • Electronic_ISBN
    978-1-61284-280-6
  • Type

    conf

  • DOI
    10.1109/CAMAD.2011.5941120
  • Filename
    5941120