Matrix reordering techniques for memory conflict reduction for pipelined QC-LDPC decoder

Zhenzhi Wu, Dake Liu, Yanjun Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Layered Decoding (LD) algorithm is widely applied in high throughput QC-LDPC decoders. Among all check node update algorithms in LD, Turbo-Decoding Message-Passing (TDMP) is adopted by many proposals. A-posteriori memory access conflict under pipelined TDMP decoder incurs serious throughput decline. In this paper, several matrix reordering techniques are introduced to reduce the conflict occurrences without incurring the performance loss, which includes Row Exchange method, element Sequence Reordering method, and a conflict detector with pipeline stall insertion. They are integrated in a joint recursive deep-first searching procedure. Test results show that the efficiency improvement reaches up to 60% compared to non-optimized scenarios for 802.11n and 802.16e standards.

Original languageEnglish
Title of host publication2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages354-359
Number of pages6
ISBN (Electronic)9781479941469
DOIs
Publication statusPublished - 12 Jan 2015
Event2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 - Shanghai, China
Duration: 13 Oct 201415 Oct 2014

Publication series

Name2014 IEEE/CIC International Conference on Communications in China, ICCC 2014

Conference

Conference2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
Country/TerritoryChina
CityShanghai
Period13/10/1415/10/14

Keywords

  • Conflict reduction
  • Matrix reordering
  • QC-LDPC

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