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Design of Joint Sparse Graph for OFDM System

  • Lei Wen
  • , Razieh Razavi
  • , Muhammad Ali Imran
  • , Pei Xiao
  • University of Surrey

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Low density signature orthogonal frequency division multiplexing (LDS-OFDM) and low density parity-check (LDPC) codes are multiple access and forward error correction (FEC) techniques, respectively. Both of them can be expressed by a bipartite graph. In this paper, we construct a joint sparse graph combining the single graphs of LDS-OFDM and LDPC codes, namely joint sparse graph for OFDM (JSG-OFDM). Based on the graph model, a low complexity approach for joint multiuser detection and FEC decoding (JMUDD) is presented. The iterative structure of JSG-OFDM receiver is illustrated and its extrinsic information transfer (EXIT) chart is researched. Furthermore, design guidelines for the joint sparse graph are derived through the EXIT chart analysis. By offline optimization of the joint sparse graph, numerical results show that the JSG-OFDM brings about 1.5-1.8 dB performance improvement at bit error rate (BER) of 10-5 over similar well-known systems such as group-orthogonal multi-carrier code division multiple access (GO-MC-CDMA), LDS-OFDM, and turbo structured LDS-OFDM.

Original languageEnglish
Article number6964791
Pages (from-to)1823-1836
Number of pages14
JournalIEEE Transactions on Wireless Communications
Volume14
Issue number4
DOIs
StatePublished - 1 Apr 2015
Externally publishedYes

Keywords

  • Code division multiple access
  • Joint multiuser detection and FEC decoding
  • Joint sparse graph
  • Multi access communication
  • Multiuser channels

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