Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks

University of California, Los Angeles · Texas A&M University

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Abstract

Cognitive radio technology has been proposed to improve spectrum efficiency by having the cognitive radios act as secondary users to opportunistically access under-utilized frequency bands. Spectrum sensing, as a key enabling functionality in cognitive radio networks, needs to reliably detect signals from licensed primary radios to avoid harmful interference. However, due to the effects of channel fading/shadowing, individual cognitive radios may not be able to reliably detect the existence of a primary radio. In this paper, we propose an optimal linear cooperation framework for spectrum sensing in order to accurately detect the weak primary signal. Within this framework, spectrum sensing is based on the…

Citation impact

1,044
total citations
FWCI
132.65
Percentile
100%
References
26
Citations per year

Authors

3

Topics & keywords

Keywords
  • Cognitive radio
  • Computer science
  • Fading
  • Fusion center
  • Interference (communication)
  • Optimization problem
  • Heuristic
  • Channel (broadcasting)
UN Sustainable Development Goals
  • Partnerships for the goals
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