2019
DOI: 10.1109/tvt.2019.2917947
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Energy Provision Minimization in Wireless Powered Communication Networks With Node Throughput Requirement

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Cited by 23 publications
(7 citation statements)
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“…In terms of control algorithm design, there are a myriad of optimisations that could be made at node and network level with many optimisations specific to the employed harvesting technique and system architecture. Some such optimisations include: using prediction techniques to balance device operation between use of stored energy and the expectation of future energy [2], [6], [97]; node-level adaptive control such as MPPT for variable energy sources [6], [51]; parameter optimisation; data compression to reduce storage and communication overheads; separation of computational duties between node and cloud to minimise energy use [2], [6]; optimal allocation of resources for various tasks at the node [98], [99] and sink level [100]; optimisation of node locations and associated network / EH infrastructure [5], [71]; and complying with safety regulations while delivering optimal performance [101].…”
Section: Further Design Considerationsmentioning
confidence: 99%
“…In terms of control algorithm design, there are a myriad of optimisations that could be made at node and network level with many optimisations specific to the employed harvesting technique and system architecture. Some such optimisations include: using prediction techniques to balance device operation between use of stored energy and the expectation of future energy [2], [6], [97]; node-level adaptive control such as MPPT for variable energy sources [6], [51]; parameter optimisation; data compression to reduce storage and communication overheads; separation of computational duties between node and cloud to minimise energy use [2], [6]; optimal allocation of resources for various tasks at the node [98], [99] and sink level [100]; optimisation of node locations and associated network / EH infrastructure [5], [71]; and complying with safety regulations while delivering optimal performance [101].…”
Section: Further Design Considerationsmentioning
confidence: 99%
“…Similarly, we use Vj to denote the WPCN user, where j=1,2,,L. HAP works in half‐duplex mode [12, 24], it first broadcasts energy to users and then collects information from them. WPCN users have no embedded power supply available.…”
Section: System Modelmentioning
confidence: 99%
“…Recently, energy harvesting (EH) is one of the key solutions to improve the energy efficiency of wireless communication system [6][7][8]. By using Radio-frequency (RF) energy harvesting technology [9][10][11], wireless powered communication networks (WPCNs) can overcome the deficiency of the traditional renewable energy sources (such as solar and wind) which are always uncontrollable and intermittent [12,13]. The harvest-then-transmit (HTT) protocol is proposed in [14] as one of the most common working mode of RF energy harvesting, where the users harvest energy from the hybrid access point (HAP) firstly and then use the harvested energy to transmit information to the HAP, which are called wireless energy transfer (WET) and wireless information transfer (WIT), respectively.…”
Section: Introductionmentioning
confidence: 99%
“…In this ideal model, the energy harvested at the end of EH circuity approximately increases linearly with the input power to the harvester. Reference [18] demonstrated that the output power is considered to be a linear function of the input power, only when the input power is very low. A more practical non-linear model has been proposed in [19] and [20] under the perfect channel state information.…”
Section: Motivation and Related Workmentioning
confidence: 99%
“…The closed-form expressions in (17) and (18) provide an upper bound on the outage probability and reduce the computing complexity by avoiding the integral form. We can also see that the outage probability does not depend on the AP density.…”
Section: Outage Probability At the Typical Information Receivermentioning
confidence: 99%