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Fairness-Aware Energy Harvesting in RSMA-Aided MU-MISO VLC Network
Indian Inst Technol Delhi, India.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Indian Inst Technol Jammu, India.
2024 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 28, no 5, p. 1062-1066Article in journal (Refereed) Published
Abstract [en]

This letter studies rate-splitting multiple access (RSMA)-based visible light communication (VLC) network employing simultaneous light-wave information and power transfer (SLIPT) technology to assist multiple Internet of Things (IoT) devices while achieving self-sustainability. We formulate a fairness problem to maximize the minimum harvested energy among IoT devices to maximize network longevity by jointly optimizing the precoding matrix and direct current bias vector, subject to information flow control and total transmit power. An iterative approach is proposed to obtain a sub-optimal solution. Simulation results reveal the superiority of the proposed RSMA-based network over existing schemes under different network load scenarios, including underloaded and overloaded conditions.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2024. Vol. 28, no 5, p. 1062-1066
Keywords [en]
Internet of Things; Light emitting diodes; Visible light communication; Streams; Vectors; Decoding; Energy harvesting; DC bias; energy harvesting; precoding matrix; RSMA scheme; SLIPT; VLC network
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-206755DOI: 10.1109/LCOMM.2024.3380418ISI: 001218818600047OAI: oai:DiVA.org:liu-206755DiVA, id: diva2:1892361
Available from: 2024-08-26 Created: 2024-08-26 Last updated: 2024-08-26

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