NDLI: Performance Comparison Between Turbo Code and Rate-Compatible LDPC Code for Evolved Utra Downlink OFDM Radio Access

Content Provider	IEEE Xplore Digital Library
Author	Ohkubo, N. Miki, N. Kishiyama, Y. Higuchi, K. Sawahashi, M.
Copyright Year	2006
Description	Author affiliation: Radio Access Network Dev. Dept., NTT DoCoMo, Inc., Kanagawa (Ohkubo, N.; Miki, N.; Kishiyama, Y.; Higuchi, K.)
Abstract	This paper compares the Release 6 turbo code and rate-compatible low-density parity-check (LDPC) codes based on the packet error rate (PER) performance and decoding complexity in order to clarify the most appropriate channel coding scheme in the OFDM based evolved UTRA (E-UTRA) downlink. Simulation results and manipulation of the decoding complexity show that although the rate-compatible/quasi-cyclic (RC/QC)-LDPC code employing a normalized layered belief propagation (BP) method can reduce the computational complexity by approximately 30% for the channel coding rate of R=3/4, the required average received signal energy per bit-to-noise power spectrum density ratio $(E_{b}/N$ $_{0})$ is degraded by approximately 0.2-0.3 dB both for R=1/3 and 3/4 compared to that for the turbo code. Moreover, the decoding complexity level of the RC/QC-LDPC code with the delta-min algorithm is almost the same or higher than that for the turbo code with a slight degradation in the required received $E_{b}/N_{0}.$ Although the decoding complexity level of the ZigZag code is decreased compared to that of the turbo code, the code brings about a distinct loss in the required average received $E_{b}/N_{0}$ of approximately 0.4 dB. Finally, the turbo single parity check (SPC) code improves the PER performance compared to the ZigZag code, i.e., achieves almost the same PER performance as that for the turbo code, at the cost of a two-fold increase in the decoding complexity. As a result, we conclude that the turbo code is more promising than the LDPC codes for prioritizing the achievable performance and as the channel coding scheme for the shared data channel in the E-UTRA
Starting Page	1
Ending Page	7
File Size	10451810
Page Count	7
File Format	PDF
ISBN	142440617X
DOI	10.1109/MILCOM.2006.302034
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Turbo codes Parity check codes Downlink OFDM Decoding Channel coding Degradation Error analysis Computational modeling Belief propagation
Content Type	Text
Resource Type	Article

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