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It can also amplify the synergy in an energy harvesting capable cognitive radio (CR) network since the CR has the recognition and optimal decision functionalities.
The energy harvesting capable cognitive radio (CR) network, which senses its environment and surroundings, is effective in the development of eco-friendly, low-carbon protocols since its nodes can each recognize the energy consumptions and environmental changes [1].
In the"Stochastic policy based wireless energy harvesting in green cognitive radio network" section, we illustrate the eco-friendly, low carbonate, energy harvesting capable CR network technique which this paper proposes.
This paper proposes green, cognition-based energy harvesting capable communication technique for which SU decides the optimal action ("standby and harvesting"? or "transmit") considering the remaining energy of PU every moment, unlike the existent cognitive radio network techniques which considered only the recognition of frequency.
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