Rate-optimal and reduced-complexity sequential sensing algorithms for cognitive ofdm radios

Seung Jun Kim, Georgios B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

Sequential sensing algorithms are developed for OFDM-based hierarchical cognitive radio (CR) systems. Secondary users sense multiple sub-bands simultaneously for possible spectrum availabilities under hard miss-detection constraints to prevent interference to the primary users. Accounting for the fact that the sensing time overhead can often be significant, a performance metric is developed based on the effective achievable data rate. An optimization problem is formulated in the framework of optimal stopping problems to maximize the average effective data rate by determining the best time to stop taking samples for sensing, as well as the best set of channels to use for data transmission. A basis expansion-based sub-optimal algorithm is derived to reduce the prohibitive complexity of the optimal solution.

Original languageEnglish (US)
Title of host publicationProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages141-146
Number of pages6
DOIs
StatePublished - Oct 12 2009
Event43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States
Duration: Mar 18 2009Mar 20 2009

Publication series

NameProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

Other

Other43rd Annual Conference on Information Sciences and Systems, CISS 2009
CountryUnited States
CityBaltimore, MD
Period3/18/093/20/09

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