Energy efficient turbo based space-time coder

Yuming Zhu; L. Li; Chaitali Chakrabarti

doi:10.1109/SIPS.2003.1235640

Energy efficient turbo based space-time coder

Yuming Zhu, L. Li, Chaitali Chakrabarti

IAFSE-ECEE: Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

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 language	English (US)
Title of host publication	IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	35-40
Number of pages	6
Volume	2003-January
ISBN (Print)	0780377958
DOIs	https://doi.org/10.1109/SIPS.2003.1235640
State	Published - 2003
Event	2003 IEEE Workshop on Signal Processing Systems, SIPS 2003 - Seoul, Korea, Republic of Duration: Aug 27 2003 → Aug 29 2003

Other

Other	2003 IEEE Workshop on Signal Processing Systems, SIPS 2003
Country	Korea, Republic of
City	Seoul
Period	8/27/03 → 8/29/03

Keywords

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

Access to Document

10.1109/SIPS.2003.1235640

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Zhu, Y, Li, L & Chakrabarti, C 2003, Energy efficient turbo based space-time coder. in IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation. vol. 2003-January, 1235640, Institute of Electrical and Electronics Engineers Inc., pp. 35-40, 2003 IEEE Workshop on Signal Processing Systems, SIPS 2003, Seoul, Korea, Republic of, 8/27/03. https://doi.org/10.1109/SIPS.2003.1235640

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title = "Energy efficient turbo based space-time coder",

abstract = "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.",

keywords = "Block codes, Convolutional codes, Decoding, Energy consumption, Energy efficiency, Fading, Modulation coding, Receiving antennas, Space time codes, Turbo codes",

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AB - 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.

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