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Energy Detection Under Interference Power Uncertainty

Journal Article


Abstract


  • This letter concerns energy detection (ED) under interferences from surrounding users, where the challenge is that the distribution of the aggregate interference power has an unbounded support. With the assumption of log-normal large-scale fading of interferences and high interference-to-noise ratio, we derive an approximate but explicit expression for the decision threshold of ED that guarantees a given average false-alarm probability, and analyze its signal-to-interference ratio (SIR) wall. Simulation results verify the theoretical results and demonstrate that the proposed ED has a lower SIR wall and a better performance than the bounded worse behavior-based ED and the estimated background (interference and/or noise) power- based ED.

UOW Authors


  •   Tong, Jingwen (external author)
  •   Jin, Ming (external author)
  •   Guo, Qinghua
  •   Qu, Long (external author)

Publication Date


  • 2017

Citation


  • J. Tong, M. Jin, Q. Guo & L. Qu, "Energy Detection Under Interference Power Uncertainty," IEEE Communications Letters, vol. 21, (8) pp. 1887-1890, 2017.

Scopus Eid


  • 2-s2.0-85029502491

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/585

Number Of Pages


  • 3

Start Page


  • 1887

End Page


  • 1890

Volume


  • 21

Issue


  • 8

Place Of Publication


  • United States

Abstract


  • This letter concerns energy detection (ED) under interferences from surrounding users, where the challenge is that the distribution of the aggregate interference power has an unbounded support. With the assumption of log-normal large-scale fading of interferences and high interference-to-noise ratio, we derive an approximate but explicit expression for the decision threshold of ED that guarantees a given average false-alarm probability, and analyze its signal-to-interference ratio (SIR) wall. Simulation results verify the theoretical results and demonstrate that the proposed ED has a lower SIR wall and a better performance than the bounded worse behavior-based ED and the estimated background (interference and/or noise) power- based ED.

UOW Authors


  •   Tong, Jingwen (external author)
  •   Jin, Ming (external author)
  •   Guo, Qinghua
  •   Qu, Long (external author)

Publication Date


  • 2017

Citation


  • J. Tong, M. Jin, Q. Guo & L. Qu, "Energy Detection Under Interference Power Uncertainty," IEEE Communications Letters, vol. 21, (8) pp. 1887-1890, 2017.

Scopus Eid


  • 2-s2.0-85029502491

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/585

Number Of Pages


  • 3

Start Page


  • 1887

End Page


  • 1890

Volume


  • 21

Issue


  • 8

Place Of Publication


  • United States