• DocumentCode
    649053
  • Title

    Architecting an LTE base station with graphics processing units

  • Author

    Zheng, Qiang ; Chen, Yuanfeng ; Dreslinski, Ronald ; Chakrabarti, Chaitali ; Anastasopoulos, Achilleas ; Mahlke, Scott ; Mudge, Trevor

  • Author_Institution
    EECS Dept., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2013
  • fDate
    16-18 Oct. 2013
  • Firstpage
    219
  • Lastpage
    224
  • Abstract
    Due to the rapid growth of mobile communication, wireless base stations are becoming a significant consumer of computational resources. Historically, base stations have been built from ASICs, DSP processors, or FPGAs. This paper studies the feasibility of building wireless base stations from commercial graphics processing units (GPUs). GPUs are attractive because they are widely used massively parallel devices that can be programmed in a high level language. Base station workloads are highly parallel, making GPUs a potential candidate for a cost effective programmable solution. In this work, we develop parallel implementations of key kernels to evaluate the merits of using GPUs as the baseband signal processor. We show that the digital processing subsystem for a 75 Mbps LTE base station can be built using two NVIDIA GTX 680 GPUs with power consumption of 188 W.
  • Keywords
    Long Term Evolution; application specific integrated circuits; digital signal processing chips; field programmable gate arrays; graphics processing units; ASIC; DSP processor; FPGA; NVIDIA GTX 680 GPU; baseband signal processor; bit rate 75 Mbit/s; computational consumer resource; digital processing subsystem; graphics processing unit; high level language programming; key kernel implementation; mobile communication; power 188 W; wireless LTE base station; LTE base station; baseband processing; graphics processing unit; power efficient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (SiPS), 2013 IEEE Workshop on
  • Conference_Location
    Taipei City
  • ISSN
    2162-3562
  • Type

    conf

  • DOI
    10.1109/SiPS.2013.6674508
  • Filename
    6674508