Energy efficient turbo based space-time coder

Yuming Zhu, L. Li, Chaitali Chakrabarti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Recent studies have shown that space-time coding is an effective approach to increasing the data rate over wireless channels. Turbo-based space-time codes take advantage of both the diversity techniques of space-time systems and the randomness of the turbo codes. We compare two turbo-based space-time codes and their approximate versions with respect to energy consumption and performance. The approximations are aimed at reducing the computational complexity and include reduction in the number of paths, number of iterations and datapath computations. Our analysis shows that the space-time turbo code based versions should be used in applications where low energy consumption is the primary design objective, and turbo trellis coded modulation space-time block code based versions should be used where performance is the primary design objective.

Original languageEnglish (US)
Title of host publication2003 IEEE Workshop on Signal Processing Systems
Subtitle of host publicationDesign and Implementation, SIPS 2003
EditorsWonyong Sung, Myung Hoon Sunwoo
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)0780377958
StatePublished - 2003
Event2003 IEEE Workshop on Signal Processing Systems, SIPS 2003 - Seoul, Korea, Republic of
Duration: Aug 27 2003Aug 29 2003

Publication series

NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN (Print)1520-6130


Other2003 IEEE Workshop on Signal Processing Systems, SIPS 2003
Country/TerritoryKorea, Republic of


  • Block codes
  • Convolutional codes
  • Decoding
  • Energy consumption
  • Energy efficiency
  • Fading
  • Modulation coding
  • Receiving antennas
  • Space time codes
  • Turbo codes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics
  • Hardware and Architecture


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