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A non-periodic sensing strategy for improved throughput in cognitive radio networks

contributor authorGuerrini, M. , Rugini, L. , Banelli, P.
date accessioned2020-03-12T20:10:25Z
date available2020-03-12T20:10:25Z
date issued2014
identifier other6855015.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1004626?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA non-periodic sensing strategy for improved throughput in cognitive radio networks
typeConference Paper
contenttypeMetadata Only
identifier padid8126006
subject keywordspower grids
subject keywordspower markets
subject keywordssupply and demand
subject keywordsChina regional power grid trading institutions
subject keywordselectricity trading optimization
subject keywordsinter provincial electricity trade
subject keywordsmarket demand uncertainty
subject keywordsoptimization prior trading scheme
subject keywordsprovincial power supply and demand balance tasks
subject keywordsregional grid electricity transactions
subject keywordsregional power grid intrapersonal power transaction optimization decision model
subject keywordsregional power grid self adjust deficiency
subject keywordsregional power grid self adjust surplus
subject keywordsresearch model
subject keywordst
identifier doi10.1109/POWERCON.2014.6993968
journal titlecoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
filesize217056
citations0


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