Complexity-reduced per-antenna multiple access interference cancellation for DAN using DS-CDMA

S. Inoshita, Hiroyuki Miyazaki, Fumiyuki Adachi

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

2 Citations (Scopus)


DS-CDMA allows all accessing users to share the same carrier frequency and hence, can alleviate the sophisticated channel management problem. Recently, we investigated a distributed antenna network (DAN) using direct-sequence code division multiple access (DS-CDMA) with joint antenna diversity and equalization and showed that DAN achieves higher uplink capacity than centralized antenna network (CAN). The uplink capacity is limited due to multiple access interference (MAI). In this paper, to further improve the uplink capacity, we propose a complexity-reduced per-antenna MAI cancellation before diversity combining, which is suitable for DAN using DS-CDMA. In the per-antenna MAI cancellation, first, interfering users on each antenna are sorted in descending order of the instantaneous received power. Then, a predetermined number of interfering users having the highest received powers are selected on each antenna to be cancelled in the frequency-domain before diversity combining. It is shown by computer simulation that per-antenna MAI cancellation before diversity combining achieves almost the same uplink capacity as full MAI cancellation after diversity combining.

Original languageEnglish
Title of host publication2014 IEEE 80th Vehicular Technology Conference, VTC2014-Fall, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479944491, 9781479944491
Publication statusPublished - 2014 Nov 24
Event80th IEEE Vehicular Technology Conference, VTC 2014-Fall - Vancouver, Canada
Duration: 2014 Sep 142014 Sep 17

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other80th IEEE Vehicular Technology Conference, VTC 2014-Fall


  • CCI; TPC
  • DAN
  • MAI cancellation
  • Uplink capacity

ASJC Scopus subject areas

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


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