Joint user scheduling and power allocation with quality of service guarantees in downlink distributed antennas system
In this study, the authors study the downlink joint user scheduling and power allocation in a single-cell distributed antennas system. Considering that all users are delay sensitive and without any assumption on the feasibility of the system, they formulate an optimisation problem to minimise the to...
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| Veröffentlicht in: | IET communications 2014-02, Vol.8 (3), p.299-307 |
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| creator | Yan, Jilei Li, Jiandong Zhao, Linjing |
| description | In this study, the authors study the downlink joint user scheduling and power allocation in a single-cell distributed antennas system. Considering that all users are delay sensitive and without any assumption on the feasibility of the system, they formulate an optimisation problem to minimise the total power consumption while maximising the number of satisfied users. Given a user scheduling result, a deflation-based joint user removal and power allocation algorithm and a conservative power allocation algorithm are proposed. Owing to the complexity in full enumeration of all user scheduling results, they further propose a joint heuristic user scheduling and power allocation algorithm, in which a priority parameter is defined to determine the user scheduling order and the conservative power allocation algorithm is applied to execute the power allocation. The user with the worst quality of experience is iteratively removed away from the active user set until all the remaining users are guaranteed with their quality of service requirements. Simulation results show that the authors proposed heuristic algorithm obtains a near optimal system performance in both user outage ratio and total power consumption. |
| doi_str_mv | 10.1049/iet-com.2013.0520 |
| format | Article |
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Considering that all users are delay sensitive and without any assumption on the feasibility of the system, they formulate an optimisation problem to minimise the total power consumption while maximising the number of satisfied users. Given a user scheduling result, a deflation-based joint user removal and power allocation algorithm and a conservative power allocation algorithm are proposed. Owing to the complexity in full enumeration of all user scheduling results, they further propose a joint heuristic user scheduling and power allocation algorithm, in which a priority parameter is defined to determine the user scheduling order and the conservative power allocation algorithm is applied to execute the power allocation. The user with the worst quality of experience is iteratively removed away from the active user set until all the remaining users are guaranteed with their quality of service requirements. Simulation results show that the authors proposed heuristic algorithm obtains a near optimal system performance in both user outage ratio and total power consumption.</description><identifier>ISSN: 1751-8628</identifier><identifier>ISSN: 1751-8636</identifier><identifier>EISSN: 1751-8636</identifier><identifier>DOI: 10.1049/iet-com.2013.0520</identifier><language>eng</language><publisher>Stevenage: The Institution of Engineering and Technology</publisher><subject>Algorithms ; Allocations ; Antennas ; Delay ; downlink distributed antennas system ; downlink joint user scheduling ; Feasibility ; heuristic user scheduling ; optimal system performance ; optimisation ; optimisation problem ; Optimization ; power allocation algorithm ; Power consumption ; quality of service ; Scheduling ; single‐cell distributed antennas system ; telecommunication power management</subject><ispartof>IET communications, 2014-02, Vol.8 (3), p.299-307</ispartof><rights>The Institution of Engineering and Technology</rights><rights>2021 The Institution of Engineering and Technology</rights><rights>Copyright The Institution of Engineering & Technology Feb 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3593-9b4da568340e60c93caa7195c1376032883b91fcb665758a8cc7ee93d7ac58463</citedby><cites>FETCH-LOGICAL-c3593-9b4da568340e60c93caa7195c1376032883b91fcb665758a8cc7ee93d7ac58463</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1049%2Fiet-com.2013.0520$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1049%2Fiet-com.2013.0520$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,11562,27924,27925,45574,45575,46052,46476</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-com.2013.0520$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc></links><search><creatorcontrib>Yan, Jilei</creatorcontrib><creatorcontrib>Li, Jiandong</creatorcontrib><creatorcontrib>Zhao, Linjing</creatorcontrib><title>Joint user scheduling and power allocation with quality of service guarantees in downlink distributed antennas system</title><title>IET communications</title><description>In this study, the authors study the downlink joint user scheduling and power allocation in a single-cell distributed antennas system. Considering that all users are delay sensitive and without any assumption on the feasibility of the system, they formulate an optimisation problem to minimise the total power consumption while maximising the number of satisfied users. Given a user scheduling result, a deflation-based joint user removal and power allocation algorithm and a conservative power allocation algorithm are proposed. Owing to the complexity in full enumeration of all user scheduling results, they further propose a joint heuristic user scheduling and power allocation algorithm, in which a priority parameter is defined to determine the user scheduling order and the conservative power allocation algorithm is applied to execute the power allocation. The user with the worst quality of experience is iteratively removed away from the active user set until all the remaining users are guaranteed with their quality of service requirements. Simulation results show that the authors proposed heuristic algorithm obtains a near optimal system performance in both user outage ratio and total power consumption.</description><subject>Algorithms</subject><subject>Allocations</subject><subject>Antennas</subject><subject>Delay</subject><subject>downlink distributed antennas system</subject><subject>downlink joint user scheduling</subject><subject>Feasibility</subject><subject>heuristic user scheduling</subject><subject>optimal system performance</subject><subject>optimisation</subject><subject>optimisation problem</subject><subject>Optimization</subject><subject>power allocation algorithm</subject><subject>Power consumption</subject><subject>quality of service</subject><subject>Scheduling</subject><subject>single‐cell distributed antennas system</subject><subject>telecommunication power management</subject><issn>1751-8628</issn><issn>1751-8636</issn><issn>1751-8636</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkU1PGzEQhlcVlQopP6A3S1zKYYO9Xnu9vZUoaUEgLsnZcryzYLqxgz-I8u_rVaoWVQhOtjzPMzPyWxRfCJ4SXLcXBmKp3WZaYUKnmFX4Q3FMGkZKwSk_-nuvxKfiJIRHjBnjdX1cpGtnbEQpgEdBP0CXBmPvkbId2rpdflTD4LSKxlm0M_EBPSU1mLhHrkfZeTYa0H1SXtkIEJCxqHM7m3v8Qp0J0Zt1itChsWytCijsQ4TN5-Jjr4YAp3_OSbFazJezn-XN3Y-r2febUlPW0rJd151iXNAaA8e6pVqphrRME9pwTCsh6LolvV5zzhomlNC6AWhp1yjNRM3ppPh66Lv17ilBiHJjgoZhUBZcCpLkj2q5wI3I6Nl_6KNL3ubtMoVFLQRnVabIgdLeheChl1tvNsrvJcFyDELmIGQOQo5ByDGI7Hw7ODszwP59Qc5uV9XlAhMsaJbLgzxi_zZ6Y9j5K_zVfClnd7cvZmy7nv4GID2s5g</recordid><startdate>201402</startdate><enddate>201402</enddate><creator>Yan, Jilei</creator><creator>Li, Jiandong</creator><creator>Zhao, Linjing</creator><general>The Institution of Engineering and Technology</general><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>S0W</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201402</creationdate><title>Joint user scheduling and power allocation with quality of service guarantees in downlink distributed antennas system</title><author>Yan, Jilei ; Li, Jiandong ; Zhao, Linjing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3593-9b4da568340e60c93caa7195c1376032883b91fcb665758a8cc7ee93d7ac58463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Allocations</topic><topic>Antennas</topic><topic>Delay</topic><topic>downlink distributed antennas system</topic><topic>downlink joint user scheduling</topic><topic>Feasibility</topic><topic>heuristic user scheduling</topic><topic>optimal system performance</topic><topic>optimisation</topic><topic>optimisation problem</topic><topic>Optimization</topic><topic>power allocation algorithm</topic><topic>Power consumption</topic><topic>quality of service</topic><topic>Scheduling</topic><topic>single‐cell distributed antennas system</topic><topic>telecommunication power management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yan, Jilei</creatorcontrib><creatorcontrib>Li, Jiandong</creatorcontrib><creatorcontrib>Zhao, Linjing</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DELNET Engineering & Technology Collection</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology 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><jtitle>IET communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yan, Jilei</au><au>Li, Jiandong</au><au>Zhao, Linjing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Joint user scheduling and power allocation with quality of service guarantees in downlink distributed antennas system</atitle><jtitle>IET communications</jtitle><date>2014-02</date><risdate>2014</risdate><volume>8</volume><issue>3</issue><spage>299</spage><epage>307</epage><pages>299-307</pages><issn>1751-8628</issn><issn>1751-8636</issn><eissn>1751-8636</eissn><abstract>In this study, the authors study the downlink joint user scheduling and power allocation in a single-cell distributed antennas system. Considering that all users are delay sensitive and without any assumption on the feasibility of the system, they formulate an optimisation problem to minimise the total power consumption while maximising the number of satisfied users. Given a user scheduling result, a deflation-based joint user removal and power allocation algorithm and a conservative power allocation algorithm are proposed. Owing to the complexity in full enumeration of all user scheduling results, they further propose a joint heuristic user scheduling and power allocation algorithm, in which a priority parameter is defined to determine the user scheduling order and the conservative power allocation algorithm is applied to execute the power allocation. The user with the worst quality of experience is iteratively removed away from the active user set until all the remaining users are guaranteed with their quality of service requirements. Simulation results show that the authors proposed heuristic algorithm obtains a near optimal system performance in both user outage ratio and total power consumption.</abstract><cop>Stevenage</cop><pub>The Institution of Engineering and Technology</pub><doi>10.1049/iet-com.2013.0520</doi><tpages>9</tpages></addata></record> |
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| subjects | Algorithms Allocations Antennas Delay downlink distributed antennas system downlink joint user scheduling Feasibility heuristic user scheduling optimal system performance optimisation optimisation problem Optimization power allocation algorithm Power consumption quality of service Scheduling single‐cell distributed antennas system telecommunication power management |
| title | Joint user scheduling and power allocation with quality of service guarantees in downlink distributed antennas system |
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