Throughput Maximization for RIS-UAV Relaying Communications
In this paper, we consider a reconfigurable intelligent surface (RIS) assisted unmanned aerial vehicle (UAV) relaying communication system, where the RIS is mounted on the UAV and can move at a high speed. Compared with the conventional static RIS, better performance and more flexibility can be achi...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2022-10, Vol.23 (10), p.19569-19574 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 19574 |
|---|---|
| container_issue | 10 |
| container_start_page | 19569 |
| container_title | IEEE transactions on intelligent transportation systems |
| container_volume | 23 |
| creator | Liu, Xin Yu, Yingfeng Li, Feng Durrani, Tariq S. |
| description | In this paper, we consider a reconfigurable intelligent surface (RIS) assisted unmanned aerial vehicle (UAV) relaying communication system, where the RIS is mounted on the UAV and can move at a high speed. Compared with the conventional static RIS, better performance and more flexibility can be achieved with the assistance of the mobile UAV. We maximize the average downlink throughput by jointly optimizing the UAV trajectory, RIS passive beamforming and source power allocation for each time slot. The formulated non-convex optimization problem is decomposed into three subproblems: passive beamforming optimization, trajectory optimization and power allocation optimization. An alternating iterative optimization algorithm of the three subproblems is proposed to achieve the suboptimal solutions. The numerical results indicate that the RIS-UAV relaying communication system with trajectory optimization can get higher throughput. |
| doi_str_mv | 10.1109/TITS.2022.3161698 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2723901965</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9750059</ieee_id><sourcerecordid>2723901965</sourcerecordid><originalsourceid>FETCH-LOGICAL-c266t-8b352dac75d3ede360d0f6eafefe32be55192485d018a67e80f5e91cb987f1963</originalsourceid><addsrcrecordid>eNo9kE1Lw0AQhhdRsFZ_gHgJeE6d2e1usngqxY9CRWhTr8s2mW1TmqRuErD-ehMrnuZleN4ZeBi7RRghgn5IZslyxIHzkUCFSsdnbIBSxiEAqvM-83GoQcIlu6rrXbcdS8QBe0y2vmo320PbBG_2Ky_yb9vkVRm4ygeL2TJcTT6CBe3tMS83wbQqirbM01-kvmYXzu5ruvmbQ7Z6fkqmr-H8_WU2nczDlCvVhPFaSJ7ZNJKZoIyEggycIuvIkeBrkhI1H8cyA4ytiigGJ0ljutZx5FArMWT3p7sHX322VDdmV7W-7F4aHnGhoYNkR-GJSn1V156cOfi8sP5oEEzvyPSOTO_I_DnqOnenTk5E_7yOJIDU4geNZGIz</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2723901965</pqid></control><display><type>article</type><title>Throughput Maximization for RIS-UAV Relaying Communications</title><source>IEEE Electronic Library (IEL)</source><creator>Liu, Xin ; Yu, Yingfeng ; Li, Feng ; Durrani, Tariq S.</creator><creatorcontrib>Liu, Xin ; Yu, Yingfeng ; Li, Feng ; Durrani, Tariq S.</creatorcontrib><description>In this paper, we consider a reconfigurable intelligent surface (RIS) assisted unmanned aerial vehicle (UAV) relaying communication system, where the RIS is mounted on the UAV and can move at a high speed. Compared with the conventional static RIS, better performance and more flexibility can be achieved with the assistance of the mobile UAV. We maximize the average downlink throughput by jointly optimizing the UAV trajectory, RIS passive beamforming and source power allocation for each time slot. The formulated non-convex optimization problem is decomposed into three subproblems: passive beamforming optimization, trajectory optimization and power allocation optimization. An alternating iterative optimization algorithm of the three subproblems is proposed to achieve the suboptimal solutions. The numerical results indicate that the RIS-UAV relaying communication system with trajectory optimization can get higher throughput.</description><identifier>ISSN: 1524-9050</identifier><identifier>EISSN: 1558-0016</identifier><identifier>DOI: 10.1109/TITS.2022.3161698</identifier><identifier>CODEN: ITISFG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Array signal processing ; Autonomous aerial vehicles ; Beamforming ; Communications systems ; Computational geometry ; Convexity ; Cooperative communication ; Iterative methods ; passive beamforming ; Relaying ; relaying communications ; Relays ; Resource management ; RIS ; Throughput ; Trajectory optimization ; UAV ; Unmanned aerial vehicles</subject><ispartof>IEEE transactions on intelligent transportation systems, 2022-10, Vol.23 (10), p.19569-19574</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c266t-8b352dac75d3ede360d0f6eafefe32be55192485d018a67e80f5e91cb987f1963</citedby><cites>FETCH-LOGICAL-c266t-8b352dac75d3ede360d0f6eafefe32be55192485d018a67e80f5e91cb987f1963</cites><orcidid>0000-0002-7130-2941 ; 0000-0002-6035-6055 ; 0000-0002-8813-6118 ; 0000-0002-0967-6352</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9750059$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9750059$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liu, Xin</creatorcontrib><creatorcontrib>Yu, Yingfeng</creatorcontrib><creatorcontrib>Li, Feng</creatorcontrib><creatorcontrib>Durrani, Tariq S.</creatorcontrib><title>Throughput Maximization for RIS-UAV Relaying Communications</title><title>IEEE transactions on intelligent transportation systems</title><addtitle>TITS</addtitle><description>In this paper, we consider a reconfigurable intelligent surface (RIS) assisted unmanned aerial vehicle (UAV) relaying communication system, where the RIS is mounted on the UAV and can move at a high speed. Compared with the conventional static RIS, better performance and more flexibility can be achieved with the assistance of the mobile UAV. We maximize the average downlink throughput by jointly optimizing the UAV trajectory, RIS passive beamforming and source power allocation for each time slot. The formulated non-convex optimization problem is decomposed into three subproblems: passive beamforming optimization, trajectory optimization and power allocation optimization. An alternating iterative optimization algorithm of the three subproblems is proposed to achieve the suboptimal solutions. The numerical results indicate that the RIS-UAV relaying communication system with trajectory optimization can get higher throughput.</description><subject>Algorithms</subject><subject>Array signal processing</subject><subject>Autonomous aerial vehicles</subject><subject>Beamforming</subject><subject>Communications systems</subject><subject>Computational geometry</subject><subject>Convexity</subject><subject>Cooperative communication</subject><subject>Iterative methods</subject><subject>passive beamforming</subject><subject>Relaying</subject><subject>relaying communications</subject><subject>Relays</subject><subject>Resource management</subject><subject>RIS</subject><subject>Throughput</subject><subject>Trajectory optimization</subject><subject>UAV</subject><subject>Unmanned aerial vehicles</subject><issn>1524-9050</issn><issn>1558-0016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhhdRsFZ_gHgJeE6d2e1usngqxY9CRWhTr8s2mW1TmqRuErD-ehMrnuZleN4ZeBi7RRghgn5IZslyxIHzkUCFSsdnbIBSxiEAqvM-83GoQcIlu6rrXbcdS8QBe0y2vmo320PbBG_2Ky_yb9vkVRm4ygeL2TJcTT6CBe3tMS83wbQqirbM01-kvmYXzu5ruvmbQ7Z6fkqmr-H8_WU2nczDlCvVhPFaSJ7ZNJKZoIyEggycIuvIkeBrkhI1H8cyA4ytiigGJ0ljutZx5FArMWT3p7sHX322VDdmV7W-7F4aHnGhoYNkR-GJSn1V156cOfi8sP5oEEzvyPSOTO_I_DnqOnenTk5E_7yOJIDU4geNZGIz</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Liu, Xin</creator><creator>Yu, Yingfeng</creator><creator>Li, Feng</creator><creator>Durrani, Tariq S.</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>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-7130-2941</orcidid><orcidid>https://orcid.org/0000-0002-6035-6055</orcidid><orcidid>https://orcid.org/0000-0002-8813-6118</orcidid><orcidid>https://orcid.org/0000-0002-0967-6352</orcidid></search><sort><creationdate>20221001</creationdate><title>Throughput Maximization for RIS-UAV Relaying Communications</title><author>Liu, Xin ; Yu, Yingfeng ; Li, Feng ; Durrani, Tariq S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c266t-8b352dac75d3ede360d0f6eafefe32be55192485d018a67e80f5e91cb987f1963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Array signal processing</topic><topic>Autonomous aerial vehicles</topic><topic>Beamforming</topic><topic>Communications systems</topic><topic>Computational geometry</topic><topic>Convexity</topic><topic>Cooperative communication</topic><topic>Iterative methods</topic><topic>passive beamforming</topic><topic>Relaying</topic><topic>relaying communications</topic><topic>Relays</topic><topic>Resource management</topic><topic>RIS</topic><topic>Throughput</topic><topic>Trajectory optimization</topic><topic>UAV</topic><topic>Unmanned aerial vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xin</creatorcontrib><creatorcontrib>Yu, Yingfeng</creatorcontrib><creatorcontrib>Li, Feng</creatorcontrib><creatorcontrib>Durrani, Tariq S.</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>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on intelligent transportation systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liu, Xin</au><au>Yu, Yingfeng</au><au>Li, Feng</au><au>Durrani, Tariq S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Throughput Maximization for RIS-UAV Relaying Communications</atitle><jtitle>IEEE transactions on intelligent transportation systems</jtitle><stitle>TITS</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>23</volume><issue>10</issue><spage>19569</spage><epage>19574</epage><pages>19569-19574</pages><issn>1524-9050</issn><eissn>1558-0016</eissn><coden>ITISFG</coden><abstract>In this paper, we consider a reconfigurable intelligent surface (RIS) assisted unmanned aerial vehicle (UAV) relaying communication system, where the RIS is mounted on the UAV and can move at a high speed. Compared with the conventional static RIS, better performance and more flexibility can be achieved with the assistance of the mobile UAV. We maximize the average downlink throughput by jointly optimizing the UAV trajectory, RIS passive beamforming and source power allocation for each time slot. The formulated non-convex optimization problem is decomposed into three subproblems: passive beamforming optimization, trajectory optimization and power allocation optimization. An alternating iterative optimization algorithm of the three subproblems is proposed to achieve the suboptimal solutions. The numerical results indicate that the RIS-UAV relaying communication system with trajectory optimization can get higher throughput.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TITS.2022.3161698</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-7130-2941</orcidid><orcidid>https://orcid.org/0000-0002-6035-6055</orcidid><orcidid>https://orcid.org/0000-0002-8813-6118</orcidid><orcidid>https://orcid.org/0000-0002-0967-6352</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1524-9050 |
| ispartof | IEEE transactions on intelligent transportation systems, 2022-10, Vol.23 (10), p.19569-19574 |
| issn | 1524-9050 1558-0016 |
| language | eng |
| recordid | cdi_proquest_journals_2723901965 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Array signal processing Autonomous aerial vehicles Beamforming Communications systems Computational geometry Convexity Cooperative communication Iterative methods passive beamforming Relaying relaying communications Relays Resource management RIS Throughput Trajectory optimization UAV Unmanned aerial vehicles |
| title | Throughput Maximization for RIS-UAV Relaying Communications |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T14%3A18%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Throughput%20Maximization%20for%20RIS-UAV%20Relaying%20Communications&rft.jtitle=IEEE%20transactions%20on%20intelligent%20transportation%20systems&rft.au=Liu,%20Xin&rft.date=2022-10-01&rft.volume=23&rft.issue=10&rft.spage=19569&rft.epage=19574&rft.pages=19569-19574&rft.issn=1524-9050&rft.eissn=1558-0016&rft.coden=ITISFG&rft_id=info:doi/10.1109/TITS.2022.3161698&rft_dat=%3Cproquest_RIE%3E2723901965%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2723901965&rft_id=info:pmid/&rft_ieee_id=9750059&rfr_iscdi=true |