Loading…

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-...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2024, Vol.12, p.27147-27157
Main Authors: Nguyen, Van Son, Nguyen, Tien Hoa
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c409t-7e8116b6c80a1c3deba06f630e922be570607b68412cafb4bfb4e8c526e0a7813
cites cdi_FETCH-LOGICAL-c409t-7e8116b6c80a1c3deba06f630e922be570607b68412cafb4bfb4e8c526e0a7813
container_end_page 27157
container_issue
container_start_page 27147
container_title IEEE access
container_volume 12
creator Nguyen, Van Son
Nguyen, Tien Hoa
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.
doi_str_mv 10.1109/ACCESS.2024.3366660
format article
fullrecord <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_10438449</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10438449</ieee_id><doaj_id>oai_doaj_org_article_0bfd77bb66e04e02b3b571d564265fb8</doaj_id><sourcerecordid>2930957561</sourcerecordid><originalsourceid>FETCH-LOGICAL-c409t-7e8116b6c80a1c3deba06f630e922be570607b68412cafb4bfb4e8c526e0a7813</originalsourceid><addsrcrecordid>eNpNkE1Lw0AQhoMoWGp_gR4CnlP3O5uLEGLUQqFCWz0uu8mkpKRJ3U0P-fduTREHhhmGed9hniC4x2iOMUqe0izL1-s5QYTNKRU-0FUwIVgkEeVUXP_rb4OZc3vkQ_oRjyfBc96C3Q3h6tTrHYRpq5vB1S7sqjAFW-sm3KafUd5q00AZrr8WH5vwBY5NNxyg7d1dcFPpxsHsUqfB9jXfZO_RcvW2yNJlVDCU9FEMEmNhRCGRxgUtwWgkKkERJIQY4DESKDZCMkwKXRlmfIIsOBGAdCwxnQaL0bfs9F4dbX3QdlCdrtXvoLM7pW1fFw0oZKoyjo0RXssAEUMNj3HJBSOCV0Z6r8fR62i77xO4Xu27k_WPO0USijwWLs4X6bhV2M45C9XfVYzUmbsauaszd3Xh7lUPo6oGgH8KRiVjCf0BrQt8Qg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2930957561</pqid></control><display><type>article</type><title>Energy Outage Analysis of Aerial UAV-Enabled SWIPT Deployments</title><source>IEEE Xplore Open Access Journals</source><creator>Nguyen, Van Son ; Nguyen, Tien Hoa</creator><creatorcontrib>Nguyen, Van Son ; Nguyen, Tien Hoa</creatorcontrib><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><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 &amp; 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>
fulltext fulltext
identifier ISSN: 2169-3536
ispartof IEEE access, 2024, Vol.12, p.27147-27157
issn 2169-3536
2169-3536
language eng
recordid cdi_ieee_primary_10438449
source IEEE Xplore Open Access Journals
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T10%3A12%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Energy%20Outage%20Analysis%20of%20Aerial%20UAV-Enabled%20SWIPT%20Deployments&rft.jtitle=IEEE%20access&rft.au=Nguyen,%20Van%20Son&rft.date=2024&rft.volume=12&rft.spage=27147&rft.epage=27157&rft.pages=27147-27157&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2024.3366660&rft_dat=%3Cproquest_ieee_%3E2930957561%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c409t-7e8116b6c80a1c3deba06f630e922be570607b68412cafb4bfb4e8c526e0a7813%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2930957561&rft_id=info:pmid/&rft_ieee_id=10438449&rfr_iscdi=true