Title :
Near-optimal decoding for coded and power-controlled DS-CDMA downlink
Author :
Kim, Byoung-Hoon
Author_Institution :
GCT Semicond. Inc., Seoul, South Korea
fDate :
5/1/2004 12:00:00 AM
Abstract :
We first present the traditional decoding approach that employs the common pilot-channel-based maximal ratio combining and the Viterbi or iterative decoding cannot achieve the optimal error-rate performance for downlink direct-sequence code-division multiple-access (CDMA) signals when a fast power control technique is applied together with a convolutional or turbo coding. Then, as an efficient method to realize a nearly optimal decoding, we propose a branch metric power readjustment (BMPR) technique, where the downlink power control command generated by the mobile station is used not only to adjust the base station power in the transmitter side, but also to readjust the decoder input branch metric power in the receiver side. Numerical results show that the BMPR technique applied to the IMT-2000 wideband-CDMA system can improve the transmit power utilization by up to 0.4 dB for the block-error rate of 10-2.
Keywords :
3G mobile communication; Viterbi decoding; code division multiple access; convolutional codes; error statistics; iterative decoding; power control; radio receivers; radio transmitters; spread spectrum communication; telecommunication control; turbo codes; DS-CDMA downlink; Viterbi decoding; branch metric power readjustment; convolutional coding; direct sequence code division multiple access; iterative decoding; maximal ratio combining; mobile station; power control technique; turbo coding; Convolution; Convolutional codes; Diversity reception; Downlink; Error correction codes; Iterative decoding; Multiaccess communication; Power control; Turbo codes; Viterbi algorithm; BMPR; Branch metric power readjustment; MRC; Viterbi decoding; convolutional coding; iterative decoding; maximal ratio combining; turbo coding;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2004.826258