Energy-Aware Competitive Power Control in Relay-Assisted Interference Wireless Networks
Competitive power control for energy efficiency maximization in wireless interference networks is addressed, for the scenarios in which the users' SINR can be expressed as either (a) γ = (αp)/(φp + ω), or (b) γ = (αp + βp 2 )/(φp + ω), with p the user's transmit power. The considered SINR...
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Veröffentlicht in: | IEEE transactions on wireless communications 2013-04, Vol.12 (4), p.1860-1871 |
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creator | Zappone, Alessio Zhijiat Chong Jorswieck, Eduard A. Buzzi, Stefano |
description | Competitive power control for energy efficiency maximization in wireless interference networks is addressed, for the scenarios in which the users' SINR can be expressed as either (a) γ = (αp)/(φp + ω), or (b) γ = (αp + βp 2 )/(φp + ω), with p the user's transmit power. The considered SINR expressions naturally arise in relay-assisted systems. The energy efficiency is measured in bit/Joule and is defined as the ratio of a proper function of the SINR, divided by the consumed power. Unlike most previous related works, in the definition of the consumed power, not only the transmit power, but also the circuit power needed to operate the devices is accounted for. A non-cooperative game theoretic approach is employed and distributed power control algorithms are proposed. For both SINR expressions (a) and (b), it is shown that the competitive power allocation problem always admits a Nash equilibrium. Moreover, for the SINR (a), the equilibrium is also shown to be unique and the best-response dynamic is guaranteed to converge to such unique equilibrium. For the two-user case, the efficient computation of the Pareto frontier of the considered game is addressed, and, for benchmarking purposes, a social optimum solution with fairness constraint is derived. |
doi_str_mv | 10.1109/TWC.2013.031313.121103 |
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The considered SINR expressions naturally arise in relay-assisted systems. The energy efficiency is measured in bit/Joule and is defined as the ratio of a proper function of the SINR, divided by the consumed power. Unlike most previous related works, in the definition of the consumed power, not only the transmit power, but also the circuit power needed to operate the devices is accounted for. A non-cooperative game theoretic approach is employed and distributed power control algorithms are proposed. For both SINR expressions (a) and (b), it is shown that the competitive power allocation problem always admits a Nash equilibrium. Moreover, for the SINR (a), the equilibrium is also shown to be unique and the best-response dynamic is guaranteed to converge to such unique equilibrium. For the two-user case, the efficient computation of the Pareto frontier of the considered game is addressed, and, for benchmarking purposes, a social optimum solution with fairness constraint is derived.</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/TWC.2013.031313.121103</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Applied sciences ; Computational efficiency ; Electric utilities ; Energy consumption ; Energy efficiency ; Exact sciences and technology ; Game theory ; Games ; heterogeneous networks ; Interference ; Interference channel ; Mathematical models ; Maximization ; Nash equilibrium ; Power consumption ; Power control ; Receivers ; Relays ; Signal to noise ratio ; Studies ; Telecommunications ; Telecommunications and information theory ; Teleprocessing networks. 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(IEEE) Apr 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c432t-3977b7009d39bd0b3aa2fc6b62776863ec7e3b816b45a769661df37f3ef561d3</citedby><cites>FETCH-LOGICAL-c432t-3977b7009d39bd0b3aa2fc6b62776863ec7e3b816b45a769661df37f3ef561d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6485028$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27911,27912,54745</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6485028$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27317862$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zappone, Alessio</creatorcontrib><creatorcontrib>Zhijiat Chong</creatorcontrib><creatorcontrib>Jorswieck, Eduard A.</creatorcontrib><creatorcontrib>Buzzi, Stefano</creatorcontrib><title>Energy-Aware Competitive Power Control in Relay-Assisted Interference Wireless Networks</title><title>IEEE transactions on wireless communications</title><addtitle>TWC</addtitle><description>Competitive power control for energy efficiency maximization in wireless interference networks is addressed, for the scenarios in which the users' SINR can be expressed as either (a) γ = (αp)/(φp + ω), or (b) γ = (αp + βp 2 )/(φp + ω), with p the user's transmit power. The considered SINR expressions naturally arise in relay-assisted systems. The energy efficiency is measured in bit/Joule and is defined as the ratio of a proper function of the SINR, divided by the consumed power. Unlike most previous related works, in the definition of the consumed power, not only the transmit power, but also the circuit power needed to operate the devices is accounted for. A non-cooperative game theoretic approach is employed and distributed power control algorithms are proposed. For both SINR expressions (a) and (b), it is shown that the competitive power allocation problem always admits a Nash equilibrium. Moreover, for the SINR (a), the equilibrium is also shown to be unique and the best-response dynamic is guaranteed to converge to such unique equilibrium. For the two-user case, the efficient computation of the Pareto frontier of the considered game is addressed, and, for benchmarking purposes, a social optimum solution with fairness constraint is derived.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Computational efficiency</subject><subject>Electric utilities</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Exact sciences and technology</subject><subject>Game theory</subject><subject>Games</subject><subject>heterogeneous networks</subject><subject>Interference</subject><subject>Interference channel</subject><subject>Mathematical models</subject><subject>Maximization</subject><subject>Nash equilibrium</subject><subject>Power consumption</subject><subject>Power control</subject><subject>Receivers</subject><subject>Relays</subject><subject>Signal to noise ratio</subject><subject>Studies</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teleprocessing networks. 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The considered SINR expressions naturally arise in relay-assisted systems. The energy efficiency is measured in bit/Joule and is defined as the ratio of a proper function of the SINR, divided by the consumed power. Unlike most previous related works, in the definition of the consumed power, not only the transmit power, but also the circuit power needed to operate the devices is accounted for. A non-cooperative game theoretic approach is employed and distributed power control algorithms are proposed. For both SINR expressions (a) and (b), it is shown that the competitive power allocation problem always admits a Nash equilibrium. Moreover, for the SINR (a), the equilibrium is also shown to be unique and the best-response dynamic is guaranteed to converge to such unique equilibrium. For the two-user case, the efficient computation of the Pareto frontier of the considered game is addressed, and, for benchmarking purposes, a social optimum solution with fairness constraint is derived.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TWC.2013.031313.121103</doi><tpages>12</tpages></addata></record> |
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subjects | Algorithms Applied sciences Computational efficiency Electric utilities Energy consumption Energy efficiency Exact sciences and technology Game theory Games heterogeneous networks Interference Interference channel Mathematical models Maximization Nash equilibrium Power consumption Power control Receivers Relays Signal to noise ratio Studies Telecommunications Telecommunications and information theory Teleprocessing networks. Isdn Transmitters Valuation and optimization of characteristics. Simulation |
title | Energy-Aware Competitive Power Control in Relay-Assisted Interference Wireless Networks |
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