articleIEEE Transactions on Signal ProcessingNov 12, 2008GREEN OA

Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks

University of California, Los Angeles · Texas A&M University · +1 more institution

Indexed inarxivcrossref

Abstract

Spectrum sensing is an essential functionality that enables cognitive radios to detect spectral holes and to opportunistically use under-utilized frequency bands without causing harmful interference to legacy (primary) networks. In this paper, a novel wideband spectrum sensing technique referred to as multiband joint detection is introduced, which jointly detects the primary signals over multiple frequency bands rather than over one band at a time. Specifically, the spectrum sensing problem is formulated as a class of optimization problems, which maximize the aggregated opportunistic throughput of a cognitive radio system under some constraints on the interference to the primary users. By exploiting the…

Citation impact

750
total citations
FWCI
59.84
Percentile
100%
References
36
Citations per year

Authors

4

Topics & keywords

Keywords
  • Cognitive radio
  • Computer science
  • Joint (building)
  • Spectrum (functional analysis)
  • Computer network
  • Telecommunications
  • Wireless
  • Engineering
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