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Cross-layer scheduling with infrequent channel and queue measurements
The downlink scheduling problem in multi-queue multi-server systems under channel uncertainty is considered. Two policies that make allocations based on predicted channel states are proposed. The first is an extension of the well-known dynamic backpressure policy to the uncertain channel case. The s...
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Published in: | IEEE transactions on wireless communications 2009-12, Vol.8 (12), p.5737-5742 |
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container_title | IEEE transactions on wireless communications |
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creator | Manikandan, C. Bhashyam, S. Sundaresan, R. |
description | The downlink scheduling problem in multi-queue multi-server systems under channel uncertainty is considered. Two policies that make allocations based on predicted channel states are proposed. The first is an extension of the well-known dynamic backpressure policy to the uncertain channel case. The second is a variant that improves delay performance under light loads. The stability region of the system is characterised and the first policy is argued to be throughput optimal. A recently proposed policy of Kar et al has lesser complexity, but is shown to be throughput suboptimal. Further, simulations demonstrate better delay and backlog properties for both our policies at light loads. |
doi_str_mv | 10.1109/TWC.2009.12.081274 |
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Two policies that make allocations based on predicted channel states are proposed. The first is an extension of the well-known dynamic backpressure policy to the uncertain channel case. The second is a variant that improves delay performance under light loads. The stability region of the system is characterised and the first policy is argued to be throughput optimal. A recently proposed policy of Kar et al has lesser complexity, but is shown to be throughput suboptimal. 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(IEEE) 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-242ff98da06ddd56fce2b2a2515f87462e3dfcd306f9f10b278ccdc52fe815303</citedby><cites>FETCH-LOGICAL-c400t-242ff98da06ddd56fce2b2a2515f87462e3dfcd306f9f10b278ccdc52fe815303</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5351686$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,54774</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22308942$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Manikandan, C.</creatorcontrib><creatorcontrib>Bhashyam, S.</creatorcontrib><creatorcontrib>Sundaresan, R.</creatorcontrib><title>Cross-layer scheduling with infrequent channel and queue measurements</title><title>IEEE transactions on wireless communications</title><addtitle>TWC</addtitle><description>The downlink scheduling problem in multi-queue multi-server systems under channel uncertainty is considered. Two policies that make allocations based on predicted channel states are proposed. The first is an extension of the well-known dynamic backpressure policy to the uncertain channel case. The second is a variant that improves delay performance under light loads. The stability region of the system is characterised and the first policy is argued to be throughput optimal. A recently proposed policy of Kar et al has lesser complexity, but is shown to be throughput suboptimal. Further, simulations demonstrate better delay and backlog properties for both our policies at light loads.</description><subject>Allocations</subject><subject>Applied sciences</subject><subject>Backpressure policy</subject><subject>CDMA</subject><subject>Channels</subject><subject>cross-layer scheduling</subject><subject>Data systems</subject><subject>Delay</subject><subject>Downlink</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>max-weight scheduling</subject><subject>Multiaccess communication</subject><subject>Multiplexing</subject><subject>Network servers</subject><subject>OFDM</subject><subject>Optimization</subject><subject>Policies</subject><subject>polymatching</subject><subject>Resource management</subject><subject>Scheduling</subject><subject>Signal and communications theory</subject><subject>Stability</subject><subject>stability region</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teletraffic</subject><subject>Throughput</subject><subject>throughput optimal policy</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>Uncertainty</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNpdkE1LxDAQhosouK7-Ab0UQTx1nUybND3Ksn6A4EXxGLLJxK20qSZbZP-9KSsePCXMPDN582TZOYMFY9DcvLwtFwjQLBguQDKsq4NsxjiXBWIlD6d7KYpUF8fZSYwfAKwWnM-y1TIMMRad3lHIo9mQHbvWv-ff7XaTt94F-hrJb3Oz0d5Tl2tv81QZKe9JxzFQn7rxNDtyuot09nvOs9e71cvyoXh6vn9c3j4VpgLYFlihc420GoS1lgtnCNeokTPuZF0JpNI6Y0sQrnEM1lhLY6zh6EimD0A5z673ez_DkFLErerbaKjrtKdhjErWHCohEBN5-Y_8GMbgUzglBQPBS8kThHvITBICOfUZ2l6HnWKgJq8qeVWTV8VQ7b2moavfzToa3bmgvWnj32R6G2RTTQku9lxLRH9tXnImpCh_AAX4gSc</recordid><startdate>20091201</startdate><enddate>20091201</enddate><creator>Manikandan, C.</creator><creator>Bhashyam, S.</creator><creator>Sundaresan, R.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Two policies that make allocations based on predicted channel states are proposed. The first is an extension of the well-known dynamic backpressure policy to the uncertain channel case. The second is a variant that improves delay performance under light loads. The stability region of the system is characterised and the first policy is argued to be throughput optimal. A recently proposed policy of Kar et al has lesser complexity, but is shown to be throughput suboptimal. Further, simulations demonstrate better delay and backlog properties for both our policies at light loads.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TWC.2009.12.081274</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Allocations Applied sciences Backpressure policy CDMA Channels cross-layer scheduling Data systems Delay Downlink Dynamical systems Dynamics Exact sciences and technology Information, signal and communications theory max-weight scheduling Multiaccess communication Multiplexing Network servers OFDM Optimization Policies polymatching Resource management Scheduling Signal and communications theory Stability stability region Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teletraffic Throughput throughput optimal policy Transmission and modulation (techniques and equipments) Uncertainty |
title | Cross-layer scheduling with infrequent channel and queue measurements |
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