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Will caching at base station improve energy efficiency of downlink transmission?

Author:
Liu, Dong
,
Yang, Chenyang
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICIS.2014.6912155
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1100438
Keyword(s): decision theory,n dynamic programming,n hydroelectric power stations,n parallel programming,n reservoirs,n rivers,n China,n Yalong River,n analog computation,n cascade reservoirs,n curse of dimensionality,n multistage decision problem,n parallel calculation performance,n parallel dynamic programming,n parallel environment,n parameter control,n reservoir operation,n reservoir optimized operation,n reservoir power stations,n serial dynamic p
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    Will caching at base station improve energy efficiency of downlink transmission?

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contributor authorLiu, Dong
contributor authorYang, Chenyang
date accessioned2020-03-12T22:57:28Z
date available2020-03-12T22:57:28Z
date issued2014
identifier other7032101.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1100438?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleWill caching at base station improve energy efficiency of downlink transmission?
typeConference Paper
contenttypeMetadata Only
identifier padid8242521
subject keywordsdecision theory
subject keywordsn dynamic programming
subject keywordsn hydroelectric power stations
subject keywordsn parallel programming
subject keywordsn reservoirs
subject keywordsn rivers
subject keywordsn China
subject keywordsn Yalong River
subject keywordsn analog computation
subject keywordsn cascade reservoirs
subject keywordsn curse of dimensionality
subject keywordsn multistage decision problem
subject keywordsn parallel calculation performance
subject keywordsn parallel dynamic programming
subject keywordsn parallel environment
subject keywordsn parameter control
subject keywordsn reservoir operation
subject keywordsn reservoir optimized operation
subject keywordsn reservoir power stations
subject keywordsn serial dynamic p
identifier doi10.1109/ICIS.2014.6912155
journal titleignal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
filesize339537
citations0
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