Water-filling: A geometric approach and its application to solve generalized radio resource allocation problems

IEEE Transactions on Wireless Communications

Volumn 12, Issue 7, 2013, Pages 3637-3647

  He, Peter ^a   Zhao, Lian ^a   Zhou, Sheng ^b   Niu, Zhisheng ^b  

^a RYERSON UNIVERSITY   (Canada)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

channel capacity; cognitive radio; multi user MIMO (MU MIMO); optimal radio resource allocation; optimization methods; Water filling

Indexed keywords

CONVENTIONAL OPTIMIZATION; KARUSH KUHN TUCKER CONDITION; MU-MIMO; OPTIMIZATION METHOD; PEAK-POWER CONSTRAINTS; RADIO RESOURCE ALLOCATION; WATER-FILLING SOLUTIONS; WATERFILLING;

ALGORITHMS; CHANNEL CAPACITY; COGNITIVE RADIO; NONLINEAR SYSTEMS; OPTIMIZATION; RADIO; RESOURCE ALLOCATION; WATER LEVELS;

FILLING;

EID: 84881474115     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2013.061713.130278     Document Type: Article

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