Title :
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
fDate :
7/1/2001 12:00:00 AM
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;
Journal_Title :
Vehicular Technology, IEEE Transactions on
