Throughput Optimization for Energy Harvesting Cognitive Radio Networks with Save-Then-Transmit Protocol
Author(s) -
Fan Zhang,
Tao Jing,
Yan Huo,
Kaiwei Jiang
Publication year - 2017
Publication title -
the computer journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 64
eISSN - 1460-2067
pISSN - 0010-4620
DOI - 10.1093/comjnl/bxx024
Subject(s) - energy harvesting , computer science , cognitive radio , throughput , markov decision process , battery (electricity) , energy (signal processing) , energy consumption , computer network , transmitter , protocol (science) , mathematical optimization , optimization problem , channel (broadcasting) , markov process , power (physics) , wireless , telecommunications , algorithm , electrical engineering , engineering , mathematics , medicine , statistics , physics , alternative medicine , pathology , quantum mechanics
In this paper, we consider a time-slotted energy harvesting cognitive radio network with the save-then-transmit protocol, in which the secondary user (SU) is powered by energy harvested from the ambient environment. The primary concern of this study is to design an optimal harvesting-access policy to maximize the throughput of the SU, where the harvesting part of the policy specify the time durati...
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