Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks
University of California, Los Angeles · Texas A&M University · +1 more institution
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
- FWCI
- 59.84
- Percentile
- 100%
- References
- 36
Authors
4Topics & keywords
- Cognitive radio
- Computer science
- Joint (building)
- Spectrum (functional analysis)
- Computer network
- Telecommunications
- Wireless
- Engineering