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dc.contributor.authorYu, Chih-Minen_US
dc.contributor.authorTala't, Mohammaden_US
dc.contributor.authorFeng, Kai-Tenen_US
dc.date.accessioned2020-01-02T00:04:20Z-
dc.date.available2020-01-02T00:04:20Z-
dc.date.issued1970-01-01en_US
dc.identifier.issn2050-0505en_US
dc.identifier.urihttp://dx.doi.org/10.1002/ese3.549en_US
dc.identifier.urihttp://hdl.handle.net/11536/153377-
dc.description.abstractIn this paper, hybrid energy utilization was studied for the base station in a 5G network. To minimize AC power usage from the hybrid energy system and minimize solar energy waste, a Markov decision process (MDP) model was proposed for packet transmission in two practical scenarios. In this model, one buffer is transmitted with a given number of data packets over finite transmission time intervals. In the two scenarios of packet transmission, solar energy harvesting (SEH) is stored in the first scene, while the other scene uses the energy immediately. The MDP model determines the best actions and decisions for both scenarios. When considering a finite battery size and finite packet buffer, the MDP model defines the actions, states, state transition probabilities, and cost value for each action. In the first scenario, the received solar energy harvester will not be used if it is not enough to transmit the packets in the buffer. In the second scenario, the received solar energy harvester will be used immediately. In both scenarios, the cost value is the weighted sum of AC power and SEH wastage. The simulation results showed the optimum buffer sizes could be determined for the balance between AC power consumption and SEH wastage based on the cost value of the proposed model. Finally, the numerical results indicated that the proposed MDP model could reduce AC power usage by up to 50%.en_US
dc.language.isoen_USen_US
dc.subject5Gen_US
dc.subjectenergy utilizationen_US
dc.subjecthybrid poweren_US
dc.subjectmarkov decision processen_US
dc.titleOn hybrid energy utilization for harvesting base station in 5G networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/ese3.549en_US
dc.identifier.journalENERGY SCIENCE & ENGINEERINGen_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000502469800001en_US
dc.citation.woscount0en_US
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