Title:
Efficient spectrum sensing and utilization for cognitive radio

dc.contributor.advisor Li, Geoffrey Ye
dc.contributor.author Zhou, Xiangwei en_US
dc.contributor.committeeMember Akyildiz, Ian
dc.contributor.committeeMember Ma, Xiaoli
dc.contributor.committeeMember Stüber, Gordon
dc.contributor.committeeMember Yu, Xingxing
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2012-02-17T19:12:19Z
dc.date.available 2012-02-17T19:12:19Z
dc.date.issued 2011-08-11 en_US
dc.description.abstract Cognitive radio (CR) technology has recently been introduced to opportunistically exploit the spectrum. We present a robust and cost-effective design to ensure the improvement of spectrum efficiency with CR. We first propose probability-based spectrum sensing by utilizing the statistical characteristics of licensed channel occupancy, which achieves nearly optimal performance with relatively low complexity. Based on the statistical model, we then propose periodic spectrum sensing scheduling to determine the optimal inter-sensing duration and vary the transmit power at each data sample to enhance throughput and reduce interference. We further develop a probability-based scheme for combination of local sensing information collected from cooperative CR users, which enables combination of both synchronous and asynchronous sensing information. To satisfy the stringent bandwidth constraint for reporting, we also propose to simultaneously send local sensing data to a combining node through the same narrowband channel. With proper preprocessing at individual users, such a design maintains reasonable detection performance while the bandwidth required for reporting does not change with the number of cooperative users. To better utilize the spectrum and avoid possible interference, we propose spectrum shaping schemes based on spectral precoding, which enable efficient spectrum sharing between CR and licensed users and exhibit the advantages of both simplicity and flexibility. We also propose a novel resource allocation approach based on the probabilities of licensed channel availability obtained from spectrum sensing. Different from conventional approaches, the probabilistic approach exploits the flexibility of CR to ensure efficient spectrum usage and protect licensed users from unacceptable interference. en_US
dc.description.degree PhD en_US
dc.identifier.uri http://hdl.handle.net/1853/42714
dc.publisher Georgia Institute of Technology en_US
dc.subject Cognitive radio en_US
dc.subject Spectrum sensing en_US
dc.subject Cooperative communications en_US
dc.subject Resource allocation en_US
dc.subject Spectrum shaping en_US
dc.subject.lcsh Cognitive radio networks
dc.subject.lcsh Radiofrequency spectroscopy
dc.subject.lcsh Spectrum analysis
dc.title Efficient spectrum sensing and utilization for cognitive radio en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
zhou_xiangwei_201112_phd.pdf
Size:
774.18 KB
Format:
Adobe Portable Document Format
Description: