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Throughput Maximization in Backbone-Assisted Wireless Powered Communication Networks With Successive Interference Cancellation
School of Computer Science, Shaanxi Normal University, Xi’an, Shaanxi, 710119, China..
School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, 710071, China..
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0019-8411
School of Computer Science, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China..
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2021 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, IEEE Communications Letters, Vol. 25, no 8, p. 2688-2692Article in journal (Refereed) Published
Abstract [en]

In this mymargin letter, we investigate a backbone-assisted wireless powered communication network (WPCN) under the protocol of "harvest-then-transmit" protocol, where user nodes (UNs) harvest energy from the sinks in the downlink (DL), then they use the energy to transmit signals to the sinks by a non-orthogonal multiple access in the uplink (UL). We consider joint successive interference cancellation and backbone-assisted sink cooperation to reduce the impact of co-channel interference on the throughput performance. We maximize the system throughput by jointly optimizing user scheduling and the time allocation for DL energy harvesting and UL transmission. For solving the maximum throughput problem efficiently, we propose a column generation method based on a greedy algorithm. Numerical results show that our proposed energy and information transfer design is superior to other reference methods in WPCNs.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2021. Vol. 25, no 8, p. 2688-2692
Keywords [en]
Throughput; Interference; NOMA; Signal to noise ratio; Greedy algorithms; Decoding; Protocols; WPCN; throughput; successive interference cancellation; backbone; column generation method
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-168430DOI: 10.1109/LCOMM.2020.3006101ISI: 000683993100051OAI: oai:DiVA.org:liu-168430DiVA, id: diva2:1460256
Note

Funding: Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [GK202003076]; Research Start Up Fund in universities [100117-1110011057]; strategic innovation programme Smart Built Environment - Vinnova, Formas and Energimyndigheten

Available from: 2020-08-23 Created: 2020-08-23 Last updated: 2023-01-09Bibliographically approved

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Fowler, Scott

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