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Energy Outage Analysis of Aerial UAV-Enabled SWIPT Deployments
This work investigates the energy-outage performance of aerial unmanned aerial vehicles (UAV)-enabled simultaneous wireless information and power transfer (SWIPT) deployments. Focus on the energy preservation challenges for battery-powered UAVs to maintain hovering in the sky, we propose two energy-...
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Published in: | IEEE access 2024, Vol.12, p.27147-27157 |
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description | This work investigates the energy-outage performance of aerial unmanned aerial vehicles (UAV)-enabled simultaneous wireless information and power transfer (SWIPT) deployments. Focus on the energy preservation challenges for battery-powered UAVs to maintain hovering in the sky, we propose two energy-based antenna approaches, including energy-based single antenna selection (ESAS) and energy-based maximal antenna transmission (EMAT), to improve the energy-outage probability (EOP). In order to evaluate EOP, we derive closed-form approximations for two proposed ESAS and EMAT schemes as well as the asymptotic EOP formulations. In addition, we deduce the system diversity gain, the performance gap between the two proposed schemes, and guidelines for some useful information in system designs. Moreover, we also carry out an optimization of aerial UAV position to minimize the EOP when dealing with certain service areas. Through the Monte-Carlo method, extensive numerical results show that: 1) Simulation results align well with our analytical approximations; 2) For achieving the same EOP requirement, the use of EMAT consumes less than 3 dB of the transmit power compared to ESAS; 3) Compared to ESAS, the adoption of EMAT with more than four antennas at the UAV supply and aerial hovering UAV nodes reduced EOP by more than 100 times; 4) The considered SWIPT-PS mechanism results in a 10 times better EOP improvement than the SWIPT-TS one; and 5) Optimizing the position of aerial hovering UAVs lead to the EOP minimization significantly. |
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Focus on the energy preservation challenges for battery-powered UAVs to maintain hovering in the sky, we propose two energy-based antenna approaches, including energy-based single antenna selection (ESAS) and energy-based maximal antenna transmission (EMAT), to improve the energy-outage probability (EOP). In order to evaluate EOP, we derive closed-form approximations for two proposed ESAS and EMAT schemes as well as the asymptotic EOP formulations. In addition, we deduce the system diversity gain, the performance gap between the two proposed schemes, and guidelines for some useful information in system designs. Moreover, we also carry out an optimization of aerial UAV position to minimize the EOP when dealing with certain service areas. Through the Monte-Carlo method, extensive numerical results show that: 1) Simulation results align well with our analytical approximations; 2) For achieving the same EOP requirement, the use of EMAT consumes less than 3 dB of the transmit power compared to ESAS; 3) Compared to ESAS, the adoption of EMAT with more than four antennas at the UAV supply and aerial hovering UAV nodes reduced EOP by more than 100 times; 4) The considered SWIPT-PS mechanism results in a 10 times better EOP improvement than the SWIPT-TS one; and 5) Optimizing the position of aerial hovering UAVs lead to the EOP minimization significantly.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2024.3366660</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Antennas ; Approximation ; Autonomous aerial vehicles ; Closed-form solutions ; Energy ; Energy efficiency ; Energy outage probability (EOP) ; Hovering ; Mathematical analysis ; Monte Carlo simulation ; Optimization ; Outages ; performance analysis ; Performance evaluation ; Power system reliability ; Power transfer ; Probability ; Radio access networks ; Radio frequency ; Resource management ; Service areas ; Simultaneous wireless information and power transfer ; simultaneous wireless information and power transfer (SWIPT) ; Transmitting antennas ; unmanned aerial vehicle (UAV) ; Unmanned aerial vehicles ; Wireless communication</subject><ispartof>IEEE access, 2024, Vol.12, p.27147-27157</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-7e8116b6c80a1c3deba06f630e922be570607b68412cafb4bfb4e8c526e0a7813</citedby><cites>FETCH-LOGICAL-c409t-7e8116b6c80a1c3deba06f630e922be570607b68412cafb4bfb4e8c526e0a7813</cites><orcidid>0000-0003-4743-5012</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10438449$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,4010,27610,27900,27901,27902,54908</link.rule.ids></links><search><creatorcontrib>Nguyen, Van Son</creatorcontrib><creatorcontrib>Nguyen, Tien Hoa</creatorcontrib><title>Energy Outage Analysis of Aerial UAV-Enabled SWIPT Deployments</title><title>IEEE access</title><addtitle>Access</addtitle><description>This work investigates the energy-outage performance of aerial unmanned aerial vehicles (UAV)-enabled simultaneous wireless information and power transfer (SWIPT) deployments. Focus on the energy preservation challenges for battery-powered UAVs to maintain hovering in the sky, we propose two energy-based antenna approaches, including energy-based single antenna selection (ESAS) and energy-based maximal antenna transmission (EMAT), to improve the energy-outage probability (EOP). In order to evaluate EOP, we derive closed-form approximations for two proposed ESAS and EMAT schemes as well as the asymptotic EOP formulations. In addition, we deduce the system diversity gain, the performance gap between the two proposed schemes, and guidelines for some useful information in system designs. Moreover, we also carry out an optimization of aerial UAV position to minimize the EOP when dealing with certain service areas. Through the Monte-Carlo method, extensive numerical results show that: 1) Simulation results align well with our analytical approximations; 2) For achieving the same EOP requirement, the use of EMAT consumes less than 3 dB of the transmit power compared to ESAS; 3) Compared to ESAS, the adoption of EMAT with more than four antennas at the UAV supply and aerial hovering UAV nodes reduced EOP by more than 100 times; 4) The considered SWIPT-PS mechanism results in a 10 times better EOP improvement than the SWIPT-TS one; and 5) Optimizing the position of aerial hovering UAVs lead to the EOP minimization significantly.</description><subject>Antennas</subject><subject>Approximation</subject><subject>Autonomous aerial vehicles</subject><subject>Closed-form solutions</subject><subject>Energy</subject><subject>Energy efficiency</subject><subject>Energy outage probability (EOP)</subject><subject>Hovering</subject><subject>Mathematical analysis</subject><subject>Monte Carlo simulation</subject><subject>Optimization</subject><subject>Outages</subject><subject>performance analysis</subject><subject>Performance evaluation</subject><subject>Power system reliability</subject><subject>Power transfer</subject><subject>Probability</subject><subject>Radio access networks</subject><subject>Radio frequency</subject><subject>Resource management</subject><subject>Service areas</subject><subject>Simultaneous wireless information and power transfer</subject><subject>simultaneous wireless information and power transfer (SWIPT)</subject><subject>Transmitting antennas</subject><subject>unmanned aerial vehicle (UAV)</subject><subject>Unmanned aerial vehicles</subject><subject>Wireless communication</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>DOA</sourceid><recordid>eNpNkE1Lw0AQhoMoWGp_gR4CnlP3O5uLEGLUQqFCWz0uu8mkpKRJ3U0P-fduTREHhhmGed9hniC4x2iOMUqe0izL1-s5QYTNKRU-0FUwIVgkEeVUXP_rb4OZc3vkQ_oRjyfBc96C3Q3h6tTrHYRpq5vB1S7sqjAFW-sm3KafUd5q00AZrr8WH5vwBY5NNxyg7d1dcFPpxsHsUqfB9jXfZO_RcvW2yNJlVDCU9FEMEmNhRCGRxgUtwWgkKkERJIQY4DESKDZCMkwKXRlmfIIsOBGAdCwxnQaL0bfs9F4dbX3QdlCdrtXvoLM7pW1fFw0oZKoyjo0RXssAEUMNj3HJBSOCV0Z6r8fR62i77xO4Xu27k_WPO0USijwWLs4X6bhV2M45C9XfVYzUmbsauaszd3Xh7lUPo6oGgH8KRiVjCf0BrQt8Qg</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Nguyen, Van Son</creator><creator>Nguyen, Tien Hoa</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4743-5012</orcidid></search><sort><creationdate>2024</creationdate><title>Energy Outage Analysis of Aerial UAV-Enabled SWIPT Deployments</title><author>Nguyen, Van Son ; Nguyen, Tien Hoa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-7e8116b6c80a1c3deba06f630e922be570607b68412cafb4bfb4e8c526e0a7813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Antennas</topic><topic>Approximation</topic><topic>Autonomous aerial vehicles</topic><topic>Closed-form solutions</topic><topic>Energy</topic><topic>Energy efficiency</topic><topic>Energy outage probability (EOP)</topic><topic>Hovering</topic><topic>Mathematical analysis</topic><topic>Monte Carlo simulation</topic><topic>Optimization</topic><topic>Outages</topic><topic>performance analysis</topic><topic>Performance evaluation</topic><topic>Power system reliability</topic><topic>Power transfer</topic><topic>Probability</topic><topic>Radio access networks</topic><topic>Radio frequency</topic><topic>Resource management</topic><topic>Service areas</topic><topic>Simultaneous wireless information and power transfer</topic><topic>simultaneous wireless information and power transfer (SWIPT)</topic><topic>Transmitting antennas</topic><topic>unmanned aerial vehicle (UAV)</topic><topic>Unmanned aerial vehicles</topic><topic>Wireless communication</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nguyen, Van Son</creatorcontrib><creatorcontrib>Nguyen, Tien Hoa</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Xplore Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nguyen, Van Son</au><au>Nguyen, Tien Hoa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Energy Outage Analysis of Aerial UAV-Enabled SWIPT Deployments</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2024</date><risdate>2024</risdate><volume>12</volume><spage>27147</spage><epage>27157</epage><pages>27147-27157</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>This work investigates the energy-outage performance of aerial unmanned aerial vehicles (UAV)-enabled simultaneous wireless information and power transfer (SWIPT) deployments. Focus on the energy preservation challenges for battery-powered UAVs to maintain hovering in the sky, we propose two energy-based antenna approaches, including energy-based single antenna selection (ESAS) and energy-based maximal antenna transmission (EMAT), to improve the energy-outage probability (EOP). In order to evaluate EOP, we derive closed-form approximations for two proposed ESAS and EMAT schemes as well as the asymptotic EOP formulations. In addition, we deduce the system diversity gain, the performance gap between the two proposed schemes, and guidelines for some useful information in system designs. Moreover, we also carry out an optimization of aerial UAV position to minimize the EOP when dealing with certain service areas. Through the Monte-Carlo method, extensive numerical results show that: 1) Simulation results align well with our analytical approximations; 2) For achieving the same EOP requirement, the use of EMAT consumes less than 3 dB of the transmit power compared to ESAS; 3) Compared to ESAS, the adoption of EMAT with more than four antennas at the UAV supply and aerial hovering UAV nodes reduced EOP by more than 100 times; 4) The considered SWIPT-PS mechanism results in a 10 times better EOP improvement than the SWIPT-TS one; and 5) Optimizing the position of aerial hovering UAVs lead to the EOP minimization significantly.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2024.3366660</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-4743-5012</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antennas Approximation Autonomous aerial vehicles Closed-form solutions Energy Energy efficiency Energy outage probability (EOP) Hovering Mathematical analysis Monte Carlo simulation Optimization Outages performance analysis Performance evaluation Power system reliability Power transfer Probability Radio access networks Radio frequency Resource management Service areas Simultaneous wireless information and power transfer simultaneous wireless information and power transfer (SWIPT) Transmitting antennas unmanned aerial vehicle (UAV) Unmanned aerial vehicles Wireless communication |
title | Energy Outage Analysis of Aerial UAV-Enabled SWIPT Deployments |
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