Abstract
We suggest an interweave cognitive radio system with a gray space detector, which is properly identifying a small fraction of unused resources within an active band of a primary user system like 3GPP LTE. Therefore, the gray space detector can cope with frequency fading holes and distinguish them from inactive resources. Different approaches of the gray space detector are investigated, the conventional reduced–rank least squares method as well as the compressed sensing–based orthogonal matching pursuit and basis pursuit denoising algorithm. In addition, the gray space detector is compared with the classical energy detector. Simulation results present the receiver operating characteristic at several SNRs and the detection performance over further aspects like base station system load for practical false alarm rates. The results show, that especially for practical false alarm rates the compressed sensing algorithm are more suitable than the classical energy detector and reduced–rank least squares approach.
Funding statement: This work was supported by the Deutsche Forschungsgemeinschaft (DFG) grant JU 2795/2 and the Federal Ministry of Education and Research (BMBF) of Germany in the framework of the Cognitive Mobile Radio (CoMoRa) project under support grant 16BU1200.
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©2016 by De Gruyter
Artikel in diesem Heft
- Frontmatter
- Cognitive Wireless Communications – A paradigm shift in dealing with radio resources as a prerequisite for the wireless network of the future – An overview on the topic of cognitive wireless technologies
- Cognitive Radios Exploiting Gray Spaces via Compressed Sensing
- Real-Time Demonstration of Optimized Spectrum Usage with LSA Carrier Aggregation
- A Decentralized Eigenvalue Computation Method for Spectrum Sensing Based on Average Consensus
- ASIC Implementation of Highly Reliable IR-UWB Transceiver for Industrial Automation
- Industrial WSN Based on IR-UWB and a Low-Latency MAC Protocol
- Cognitive Cellular Systems: A New Challenge on the RF Analog Frontend
- High Dynamic Range Cognitive Radio Front Ends: Architecture to Evaluation
Artikel in diesem Heft
- Frontmatter
- Cognitive Wireless Communications – A paradigm shift in dealing with radio resources as a prerequisite for the wireless network of the future – An overview on the topic of cognitive wireless technologies
- Cognitive Radios Exploiting Gray Spaces via Compressed Sensing
- Real-Time Demonstration of Optimized Spectrum Usage with LSA Carrier Aggregation
- A Decentralized Eigenvalue Computation Method for Spectrum Sensing Based on Average Consensus
- ASIC Implementation of Highly Reliable IR-UWB Transceiver for Industrial Automation
- Industrial WSN Based on IR-UWB and a Low-Latency MAC Protocol
- Cognitive Cellular Systems: A New Challenge on the RF Analog Frontend
- High Dynamic Range Cognitive Radio Front Ends: Architecture to Evaluation