Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks
University of California, Los Angeles · Texas A&M University
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
- FWCI
- 132.65
- Percentile
- 100%
- References
- 26
Authors
3Topics & keywords
- Cognitive radio
- Computer science
- Fading
- Fusion center
- Interference (communication)
- Optimization problem
- Heuristic
- Channel (broadcasting)
- Partnerships for the goals