Low Complexity Antenna Selection Scheme for Spatially Correlated Multiple Antenna Cognitive Radios
| Autor: | Sonali Chouhan, Tinamoni Taye |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Scheme (programming language)
Spatial correlation Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Antenna diversity Cognitive radio Angle of arrival Electronic engineering Antenna (radio) computer Multipath propagation Selection (genetic algorithm) Computer Science::Information Theory computer.programming_language |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9789811501319 |
| DOI: | 10.1007/978-981-15-0132-6_19 |
| Popis: | In the spectrum sharing cognitive radio networks, spectrum sensing using multi-antenna can improve sensing performance by exploiting spatial diversity. But because of multipath fading, the spatial correlation arises which depends on the antenna spacing and angle of arrival. This spatial correlation degrades the sensing performance significantly. In this paper, a low complexity antenna selection scheme has been proposed to reduce the effect of spatial correlation and enhance the system sensing performance. In the proposed scheme, all possible less correlated antenna combinations are identified. The total sensing sub-slots are divided by the antenna combinations considered for sensing. In one sensing sub-slot one combination is being used. The theoretical results are verified with the simulations. The simulation results show that the proposed scheme outperforms conventional antenna selection schemes and detection probability approaches unity. |
| Databáze: | OpenAIRE |
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