DocumentCode
951662
Title
A low power turbo/Viterbi decoder for 3GPP2 applications
Author
Lin, Chien-Ching ; Shih, Yen-Hsu ; Chang, Hsie-Chia ; Lee, Chen-Yi
Author_Institution
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume
14
Issue
4
fYear
2006
fDate
4/1/2006 12:00:00 AM
Firstpage
426
Lastpage
430
Abstract
This paper presents a channel decoder that completes both turbo and Viterbi decodings, which are pervasive in many wireless communication systems, especially those that require very low signal-to-noise ratios. The trellis decoding algorithm merges them with less redundancy. However, the implementation is still challenging due to the power consumption in wearable devices. This research investigates an optimized memory scheme and rescheduled data flow to reduce power consumption and chip area. The memory access is reduced by buffering the input symbols, and the area is reduced by reducing the embedded interleaver memory. A test chip is fabricated in a 1.8 V 0.18-/spl mu/m standard CMOS technology and verified to provide 4.25-Mb/s turbo decoding and 5.26-Mb/s Viterbi decoding. The measured power dissipation is 83 mW, while decoding a 3.1 Mb/s turbo encoded data stream with six iterations for each block. The power consumption in Viterbi decoding is 25.1 mW in the 1-Mb/s data rate. The measurement shows the power dissipation is 83 mW for the turbo decoding with six iterations at 3.1 Mb/s, and 25.1 mW for the Viterbi decoding at 1 Mb/s.
Keywords
CMOS integrated circuits; Viterbi decoding; low-power electronics; turbo codes; wearable computers; 0.18 micron; 1 Mbit/s; 1.8 V; 25.1 mW; 3.1 Mbit/s; 3GPP2 application; 4.25 Mbit/s; 83 mW; CMOS; Viterbi decoder; cache memories; channel decoder; embedded interleaver memory; error correction; low signal-to-noise ratio; mobile communication; optimized memory; test chip; turbo decoder; wearable device; wireless communication system; CMOS technology; Energy consumption; Iterative decoding; Power dissipation; Power measurement; Semiconductor device measurement; Signal to noise ratio; Testing; Viterbi algorithm; Wireless communication; Cache memories; Viterbi decoding; error correction; mobile communication; turbo;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2006.874375
Filename
1637472
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