Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12365
Title: Uplink wireless powered communications of rate-adaptive iot nodes with intermittent energy source
Authors: Woradit K.
Srirutchataboon G.
Keywords: Behavioral research
Electric batteries
Learning algorithms
Markov processes
Outages
Solar energy
Energy source
Intermittent energy source
Markov Decision Processes
Numerical results
Optimization framework
Outage probability
Throughput maximization
Transfer energy
Internet of things
Issue Date: 2019
Abstract: We optimize the uplink outage probability and throughput of the cellular IoT network, where the IoT nodes in the cell are rate-adaptive. The IoT nodes do not have their own energy source, and the base station (BS) has to wirelessly transfer energy to the IoT node. The BS does not have a power supply, and solely rely on the battery, charged by intermittent solar power. The outage probability minimization and throughput maximization are done by the optimization framework based on Markov Decision Process (MDP). Since the intermittent solar power can make the BS run out of battery, we also propose the cooperative BS scheme, where two BSs share a battery to reduce the risk of empty battery. The numerical results show that the cooperative BS scheme achieves lower outage probability than the independent BS scheme, but the throughput is marginally higher. © 2019 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/12365
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078823044&doi=10.1109%2fECTI-CON47248.2019.8955159&partnerID=40&md5=0b49fb99244f720358ef279bea04555d
Appears in Collections:Scopus 1983-2021

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