Interleaver-Based Pattern Division Multiple Access with Iterative Decoding and Detection

Jie Zeng, Bei Liu, Xin Su

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

6 Citations (Scopus)

Abstract

Pattern Division Multiple Access (PDMA) is a novel non-orthogonal multiple access scheme proposed to meet the demand of massive connection in the future 5G communications. PDMA is based on the joint design of transmitter and receiver. The multiuser signals are superposed on the multiple signal domains based on different characteristic patterns at the transmitter side, and the successive interference cancellation (SIC) is used to separate the multiuser signals at the receiver side. In this paper, we proposed the enhanced technology of PDMA, named as interleaver-based PDMA (IPDMA). IPDMA scheme could distinguish different user based on different bit-level interleavers, different characteristic patterns, and different combinations of bit-level interleaver and characteristic pattern. Then the iterative decoding and detection was used at the receiver to separate multi-users. Simulation results showed that the proposed IPDMA could improve the block error rate (BLER) performance, compared to the PDMA. And analysis indicated that the complexity of the IPDMA scheme is closed to the PDMA scheme.

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509059324
DOIs
Publication statusPublished - 14 Nov 2017
Externally publishedYes
Event85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
Duration: 4 Jun 20177 Jun 2017

Publication series

NameIEEE Vehicular Technology Conference
Volume2017-June
ISSN (Print)1550-2252

Conference

Conference85th IEEE Vehicular Technology Conference, VTC Spring 2017
Country/TerritoryAustralia
CitySydney
Period4/06/177/06/17

Keywords

  • Interleaver
  • Iterative decoding and detection
  • Pattern division multiple access

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