LDPC-coded HARQ throughput performance of MC-CDMA using ICI cancellation

Kaoru Fukuda, Akinori Nakajima, Fumiyuki Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Broadband packet data services are demanded in the next generation mobile communications systems. Multi-carrier CDMA (MC-CDMA) is considered to be a promising wireless technique. Hybrid ARQ (HARQ) is a powerful error control technique. It is known that the HARQ throughput performance of MC-CDMA degrades due to the residual inter-code interference (ICI) after frequency-domain equalization (FDE). The use of frequency-domain soft interference cancellation (FDSIC) technique can reduce the residual ICI and improve the throughput performance. An important technical problem is the generation of accurate residual ICI replica for FDSIC. In this paper, we consider low-density parity-check coded (LDPC-coded) MC-CDMA HARQ and generate the residual ICI replica from a-posteriori log-likelihood ratio (LLR) obtained by the LDPC decoder. We evaluate, by computer simulation, the throughput performance in a frequency-selective Rayleigh fading channel. We show that if the residual ICI is removed, MC-CDMA can provide better throughput performance than orthogonal frequency division multiplexing (OFDM).

Original languageEnglish
Title of host publication2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
Pages965-969
Number of pages5
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall - Baltimore, MD, United States
Duration: 2007 Sept 302007 Oct 3

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
Country/TerritoryUnited States
CityBaltimore, MD
Period07/9/3007/10/3

Keywords

  • ICI cancellation
  • LDPC coding
  • MC-CDMA

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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