Access Control and Deployment Design for Multi-UAV Assisted Wireless Networks
In this letter, we investigate the ground user (GU) access control and unmanned aerial vehicle base station (UAV-BS) deployment design in a multiple UAV-BSs assisted wireless network. The objective of each GU is to maximize its own throughput, and the objective of each UAV-BS is to maximize the mini...
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Veröffentlicht in: | IEEE wireless communications letters 2022-11, Vol.11 (11), p.2380-2384 |
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description | In this letter, we investigate the ground user (GU) access control and unmanned aerial vehicle base station (UAV-BS) deployment design in a multiple UAV-BSs assisted wireless network. The objective of each GU is to maximize its own throughput, and the objective of each UAV-BS is to maximize the minimum throughput of GUs served by it. Firstly, we optimize the GU access control by game theory. The access control game is proved to be an exact potential game, and we use the best response algorithm to solve the Nash equilibrium (NE). Then, we optimize the UAV-BS deployment design through convex optimization theory. The simulation results demonstrate that the proposed approach outperforms other five baselines. |
doi_str_mv | 10.1109/LWC.2022.3204060 |
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The simulation results demonstrate that the proposed approach outperforms other five baselines.</description><identifier>ISSN: 2162-2337</identifier><identifier>EISSN: 2162-2345</identifier><identifier>DOI: 10.1109/LWC.2022.3204060</identifier><identifier>CODEN: IWCLAF</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Access control ; Algorithms ; Autonomous aerial vehicles ; Base stations ; Computational geometry ; Convexity ; deployment design ; Design optimization ; Game theory ; Games ; Radio equipment ; Simulation ; Throughput ; throughput optimization ; UAV-aided communications ; Unmanned aerial vehicles ; Wireless networks</subject><ispartof>IEEE wireless communications letters, 2022-11, Vol.11 (11), p.2380-2384</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-e616d75108f833eb5acebfa21c84280840b4d455b6fe6f3167bbee633a6aa7873</citedby><cites>FETCH-LOGICAL-c291t-e616d75108f833eb5acebfa21c84280840b4d455b6fe6f3167bbee633a6aa7873</cites><orcidid>0000-0003-4575-399X ; 0000-0003-4609-4949 ; 0000-0003-0132-7040</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9877894$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9877894$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liu, Yaqun</creatorcontrib><creatorcontrib>Xie, Jun</creatorcontrib><creatorcontrib>Xing, Changyou</creatorcontrib><creatorcontrib>Xie, Shengxu</creatorcontrib><title>Access Control and Deployment Design for Multi-UAV Assisted Wireless Networks</title><title>IEEE wireless communications letters</title><addtitle>LWC</addtitle><description>In this letter, we investigate the ground user (GU) access control and unmanned aerial vehicle base station (UAV-BS) deployment design in a multiple UAV-BSs assisted wireless network. 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The simulation results demonstrate that the proposed approach outperforms other five baselines.</description><subject>Access control</subject><subject>Algorithms</subject><subject>Autonomous aerial vehicles</subject><subject>Base stations</subject><subject>Computational geometry</subject><subject>Convexity</subject><subject>deployment design</subject><subject>Design optimization</subject><subject>Game theory</subject><subject>Games</subject><subject>Radio equipment</subject><subject>Simulation</subject><subject>Throughput</subject><subject>throughput optimization</subject><subject>UAV-aided communications</subject><subject>Unmanned aerial vehicles</subject><subject>Wireless networks</subject><issn>2162-2337</issn><issn>2162-2345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kD1rwzAQhkVpoSHNXuhi6OxUX5bk0bifkLRL04xCtk_FqWOlkkLJv6-DQ265d3jeO3gQuiV4TgjOHxbrck4xpXNGMccCX6AJJYKmlPHs8pyZvEazEDZ4GIEJJWqClkVdQwhJ6froXZeYvkkeYde5wxb6OMTQfveJdT5Z7rvYpqviKylCaEOEJlm3Hrpj-x3in_M_4QZdWdMFmJ32FK2enz7L13Tx8fJWFou0pjmJKQgiGpkRrKxiDKrM1FBZQ0mtOFVYcVzxhmdZJSwIy4iQVQUgGDPCGKkkm6L78e7Ou989hKg3bu_74aWmknGmBBV0oPBI1d6F4MHqnW-3xh80wfroTQ_e9NGbPnkbKndjpQWAM54rKVXO2T8clGf0</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Liu, Yaqun</creator><creator>Xie, Jun</creator><creator>Xing, Changyou</creator><creator>Xie, Shengxu</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-4575-399X</orcidid><orcidid>https://orcid.org/0000-0003-4609-4949</orcidid><orcidid>https://orcid.org/0000-0003-0132-7040</orcidid></search><sort><creationdate>20221101</creationdate><title>Access Control and Deployment Design for Multi-UAV Assisted Wireless Networks</title><author>Liu, Yaqun ; Xie, Jun ; Xing, Changyou ; Xie, Shengxu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-e616d75108f833eb5acebfa21c84280840b4d455b6fe6f3167bbee633a6aa7873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Access control</topic><topic>Algorithms</topic><topic>Autonomous aerial vehicles</topic><topic>Base stations</topic><topic>Computational geometry</topic><topic>Convexity</topic><topic>deployment design</topic><topic>Design optimization</topic><topic>Game theory</topic><topic>Games</topic><topic>Radio equipment</topic><topic>Simulation</topic><topic>Throughput</topic><topic>throughput optimization</topic><topic>UAV-aided communications</topic><topic>Unmanned aerial vehicles</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yaqun</creatorcontrib><creatorcontrib>Xie, Jun</creatorcontrib><creatorcontrib>Xing, Changyou</creatorcontrib><creatorcontrib>Xie, Shengxu</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE wireless communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liu, Yaqun</au><au>Xie, Jun</au><au>Xing, Changyou</au><au>Xie, Shengxu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Access Control and Deployment Design for Multi-UAV Assisted Wireless Networks</atitle><jtitle>IEEE wireless communications letters</jtitle><stitle>LWC</stitle><date>2022-11-01</date><risdate>2022</risdate><volume>11</volume><issue>11</issue><spage>2380</spage><epage>2384</epage><pages>2380-2384</pages><issn>2162-2337</issn><eissn>2162-2345</eissn><coden>IWCLAF</coden><abstract>In this letter, we investigate the ground user (GU) access control and unmanned aerial vehicle base station (UAV-BS) deployment design in a multiple UAV-BSs assisted wireless network. The objective of each GU is to maximize its own throughput, and the objective of each UAV-BS is to maximize the minimum throughput of GUs served by it. Firstly, we optimize the GU access control by game theory. The access control game is proved to be an exact potential game, and we use the best response algorithm to solve the Nash equilibrium (NE). Then, we optimize the UAV-BS deployment design through convex optimization theory. The simulation results demonstrate that the proposed approach outperforms other five baselines.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LWC.2022.3204060</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0003-4575-399X</orcidid><orcidid>https://orcid.org/0000-0003-4609-4949</orcidid><orcidid>https://orcid.org/0000-0003-0132-7040</orcidid></addata></record> |
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subjects | Access control Algorithms Autonomous aerial vehicles Base stations Computational geometry Convexity deployment design Design optimization Game theory Games Radio equipment Simulation Throughput throughput optimization UAV-aided communications Unmanned aerial vehicles Wireless networks |
title | Access Control and Deployment Design for Multi-UAV Assisted Wireless Networks |
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