Analysis of an adaptive rate convolutionally coded multicarrier DS/CDMA system

Author

Lee, Jumi ; Song, Iickho ; Park, So Ryoung ; Yoon, Seokho

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea

Volume

50

Issue

4

fYear

2001

fDate

7/1/2001 12:00:00 AM

Firstpage

1014

Lastpage

1023

Abstract

The analysis of an adaptive rate convolutionally coded multicarrier direct sequence code division multiple-access (DS/CDMA) system is considered. In order to accommodate a number of coding rates easily and make the encoder and decoder structure simple, we use the rate-compatible punctured convolutional (RCPC) code. We obtain data throughputs at several coding rates, and choose the coding rate that has the highest data throughput in the signal-to-interference and noise ratio (SINR) sense. To achieve maximum data throughput, a rate adaptive system is proposed based on the channel state information (the SINR estimate). The SINR estimate is obtained by the soft decision Viterbi decoding metric. We show that the proposed rate adaptive convolutionally coded multicarrier DS/CDMA system can enhance the spectral efficiency and provide frequency diversity

Keywords

Viterbi decoding; adaptive codes; code division multiple access; convolutional codes; diversity reception; land mobile radio; multipath channels; multiuser channels; radiofrequency interference; spread spectrum communication; time-varying channels; SINR; SINR estimate; adaptive rate convolutionally coded system; channel state information; coding rates; decoder; direct sequence code division multiple-access; encoder; frequency diversity; maximum data throughput; multicarrier DS/CDMA system; radio links; rate adaptive system; rate-compatible punctured convolutional code; signal-to-interference and noise ratio; soft decision Viterbi decoding; spectral efficiency; time-varying multipath fading; Adaptive systems; Channel state information; Convolution; Convolutional codes; Decoding; Multiaccess communication; Signal to noise ratio; State estimation; Throughput; Viterbi algorithm;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/25.938577

Filename

938577