AoA based sensing and performance analysis in cognitive radio networks

Yanxiao Zhao, Dimitris E. Anagnostou, Jun Huang, Kazem Sohraby

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

2 Citations (Scopus)

Abstract

In the traditional research on spectrum sensing in cognitive radio networks, a channel is determined occupied by a primary user (PU) once a signal is detected, but this is not always true. There is a fair likelihood that the channel is being used by a secondary user (SU). To accurately reflect the channel status, it is significant to distinguish whether a signal from a PU or an SU on a busy channel. In this paper, we propose an Angle of Arrival (AoA) based sensing approach using the smart antenna technology. Specifically, an SU is equipped with a smart antenna and hence is capable of distinguishing the arrival angles from all incoming signals. Therefore, if the angle/direction information of the target PU is provided in advance, an SU is able to determine that a received signal is from the PU or other users by analyzing the incoming angles. We select the CAPON AoA algorithm as an example to demonstrate the effectiveness. Further, we comprehensively investigate the sensing performance including false alarm probability and miss detection probability, which has received limited attention. Extensive simulations are conducted and results demonstrate the effectiveness of the AoA based spectrum sensing approach. The limitation of this approach is pointed out as well.

Original languageEnglish
Title of host publication2014 National Wireless Research Collaboration Symposium
PublisherIEEE
Pages144-148
Number of pages5
ISBN (Electronic)9781479950140
DOIs
Publication statusPublished - 3 Nov 2014
Event2014 National Wireless Research Collaboration Symposium - Idaho Falls, United States
Duration: 15 May 201416 May 2014

Conference

Conference2014 National Wireless Research Collaboration Symposium
Abbreviated titleNWRCS 2014
CountryUnited States
CityIdaho Falls
Period15/05/1416/05/14

Keywords

  • CAPON AoA
  • cognitive radio networks
  • false alarm and miss detection
  • spectrum sensing

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'AoA based sensing and performance analysis in cognitive radio networks'. Together they form a unique fingerprint.

  • Cite this

    Zhao, Y., Anagnostou, D. E., Huang, J., & Sohraby, K. (2014). AoA based sensing and performance analysis in cognitive radio networks. In 2014 National Wireless Research Collaboration Symposium (pp. 144-148). IEEE. https://doi.org/10.1109/NWRCS.2014.31