• DocumentCode
    2033941
  • Title

    Energy-efficient adaptive MIMO decoders

  • Author

    Halak, Basel ; El-Hajjar, Mohammed ; Hu, Qiongda ; Lu, Yue ; Li, Qingqiang ; Qiang, Yang

  • Author_Institution
    School of ECS, University of Southampton, SO17 1BJ, United Kingdom
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    1140
  • Lastpage
    1143
  • Abstract
    Energy efficiency is a primary design goal of modern wireless communication systems, especially those deployed in portable devices such as mobile phones. This paper presents a novel concept, which allows energy-efficient systems to exploit the changing nature of their environment in order to save power. This concept is employed to design an advanced MIMO decoder, which continuously monitors the signal-to-noise ratio (SNR) and re-configures its hardware in order to minimize its energy consumption. The design is implemented in 65nm technology in order to evaluate its performance and costs. The results show that the proposed adaptive architecture can achieve up to 50% of energy consumption savings compared to existing designs at the cost of an increased area overhead.
  • Keywords
    Adaptive systems; Bit error rate; Complexity theory; Decoding; MIMO; Quality of service; Signal to noise ratio; Adaptive Architecture; Energy efficiency; MIMO; SNR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2015
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/SAI.2015.7237287
  • Filename
    7237287