Using Graphics Processing Units in an LTE Base Station

Qi Zheng, Yajing Chen, Hyunseok LEE, Ronald Dreslinski, Chaitali Chakrabarti, Achilleas Anastasopoulos, Scott Mahlke, Trevor Mudge

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

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 also study the mapping method of key kernels onto a multi-GPU system to minimize the number of required GPUs and the overall subframe processing latency. Our results show that the baseband subsystem in an LTE base station, which supports ≤150 Mbps peak data rate, can be built with up to four NVIDIA GTX 680 GPUs and commercial motherboards. We also 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.

Original languageEnglish (US)
Pages (from-to)35-47
Number of pages13
JournalJournal of Signal Processing Systems
Volume78
Issue number1
DOIs
StatePublished - Jan 1 2014

Keywords

  • Baseband processing
  • Graphics processing unit
  • LTE base station
  • Multi-GPU system
  • Power efficient

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Signal Processing
  • Information Systems
  • Modeling and Simulation
  • Hardware and Architecture

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  • Cite this

    Zheng, Q., Chen, Y., LEE, H., Dreslinski, R., Chakrabarti, C., Anastasopoulos, A., Mahlke, S., & Mudge, T. (2014). Using Graphics Processing Units in an LTE Base Station. Journal of Signal Processing Systems, 78(1), 35-47. https://doi.org/10.1007/s11265-014-0932-x