Distributed interference cancellation for dynamic spectrum sharing

Kentaro Nishimori, Hiroyuki Yomo, Petar Popovski, Yasushi Takatori, Ramjee Prasad, Shuji Kubota

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

3 Citations (Scopus)


This paper proposes a novel interference cancellation technique using the concept of a distributed array, for the secondary use of the frequency resources in frequency division duplexing (FDD)-based cellular systems. In order to achieve efficient distributed interference cancellation, the secondary system exploit intervals for periodic training signals transmitted by FDD-time division multiple access (TDMA)-based cellular systems. We show that an efficient interference cancellation can be achieved by introducing helpers that decode the interference and transfer it to the secondary nodes. We take advantage of the high-speed links within the secondary system and devise a data compressing scheme that reduces time for transferring the decoded interference. We clarify the effectiveness of the proposed scheme by using computer simulation. As a parameter, the transmission quality between the helper and secondary nodes is varied. The results indicate that the proposed distributed interference cancellation is effective compared to a conventional adaptive array using a zero forcing algorithm, when the signal to noise ratio between the helper and the target secondary node is greater than 20 dB.

Original languageEnglish
Title of host publicationICC 2008 - IEEE International Conference on Communications, Proceedings
Number of pages6
Publication statusPublished - 2008
Externally publishedYes
EventIEEE International Conference on Communications, ICC 2008 - Beijing, China
Duration: 2008 May 192008 May 23

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486


ConferenceIEEE International Conference on Communications, ICC 2008


  • Distributed array
  • FDD systems
  • Interference information transfer
  • Periodic tracing signal
  • Secondary spectrum usage

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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