Multi-channel access in wireless networks using interference-aware channel segregation based dynamic channel assignment

Katsuhiro Temma, Yuki Matsumura, Fumiyuki Adachi

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

The co-channel interference (CCI) limits the capacity of wireless networks due to the limited number of available channels and the fact that the same channel must be reused in the system. Recently, we proposed the interference-aware channel segregation based dynamic channel assignment (IACS-DCA). Stable channel reuse pattern can be formed in a distributed manner which can minimize the CCI experienced at access points (APs) or base stations (BSs). In this paper, we introduce a multi-channel access technique for the IACS-DCA. Each AP has channel priority table, in which the channels are listed by the ascending order of average CCI power. Original IACS-DCA assumes the single channel access using the first priority channel with the lowest average CCI power. By using multiple channels at the same time in the descending priority order, more number of users can access an AP. However, the use of channels below the first orders at the same time increases the CCI and may make the channel reuse pattern unstable. We examine, by computer simulation, the channel reuse pattern and confirm that the IACS-DCA improves the signal-to-interference power ratio (SIR) even with multi-channel access compared to the conventional quasi-DCA using multi-channel access.

Original languageEnglish
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013 - Hangzhou, China
Duration: 2013 Oct 242013 Oct 26

Other

Other2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013
Country/TerritoryChina
CityHangzhou
Period13/10/2413/10/26

Keywords

  • Multi-channel access
  • channel segregation
  • co-channel interference
  • dynamic channel assignment

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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