Title :
Enhanced BIOlogically-inspired Spectrum Sharing for cognitive radio networks
Author :
Li, Guangfu ; Oh, Ser Wah ; Teh, Kah Chan ; Li, Kwok Hung
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Currently, spectrum access is generally regulated by governments via a fixed spectrum allocation policy. However, the tremendous increase in the spectrum access of the wireless technologies challenges the limited spectrum bands. Cognitive radio will be able to overcome this limitation by enabling users to detect and transmit over the temporarily unused spectrum bands. One of the most challenging tasks for cognitive radio is spectrum sharing. In this paper, the BIOlogically-inspired Spectrum Sharing (BIOSS) algorithm is enhanced (e-BIOSS) to achieve higher spectrum utilization. The e-BIOSS algorithm enables cognitive radio to select the appropriate channels to transmit while at the same time avoids interference to the incumbent users. Results clearly indicate that a significant improvement in performance can be achieved with e-BIOSS. This improvement will allow better utilization of frequency spectrum in the future.
Keywords :
cognitive radio; interference (signal); radio networks; biologically-inspired spectrum sharing; cognitive radio networks; e-BIOSS; frequency spectrum; spectrum access; spectrum allocation; wireless technology; Biological system modeling; Cognitive radio; Heuristic algorithms; Insects; Protocols; Resource management;
Conference_Titel :
Communication Systems (ICCS), 2010 IEEE International Conference on
Conference_Location :
Singapor
Print_ISBN :
978-1-4244-7004-4
DOI :
10.1109/ICCS.2010.5686503