Proportional resource allocation for multi-user OFDM systems
A novel resource allocation algorithm for multiuser OFDM systems with proportional fairness is presented in this paper. The algorithm aims to maximum the total transmit rate subject to the overall transmit power constraint and proportional user rate constraint with knowledge of the channel informati...
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| creator | Xinfeng Zhao Laibo Zheng Mingjuan Huang Jintang Wang |
| description | A novel resource allocation algorithm for multiuser OFDM systems with proportional fairness is presented in this paper. The algorithm aims to maximum the total transmit rate subject to the overall transmit power constraint and proportional user rate constraint with knowledge of the channel information. The proposed algorithm divides the problem into two steps: bit loading and subcarrier allocation. Bit loading algorithm is easily implemented according to Shannon Theorem with uniformly allocated power on each subcarrier of every user. Then in each iteration of subcarrier allocation, user with least normalized transmit rate has the priority to choose the best subcarrier. The computational complexity of the proposed algorithm is analyzed, as well as the fairness performance which is evaluated by a new proportional fairness index. Compared with two typical suboptimal algorithms, the proposed algorithm can achieve a better balance in proportional fairness, complexity and total transmit rate. |
| doi_str_mv | 10.1109/ICITIS.2010.5689743 |
| format | Conference Proceeding |
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The algorithm aims to maximum the total transmit rate subject to the overall transmit power constraint and proportional user rate constraint with knowledge of the channel information. The proposed algorithm divides the problem into two steps: bit loading and subcarrier allocation. Bit loading algorithm is easily implemented according to Shannon Theorem with uniformly allocated power on each subcarrier of every user. Then in each iteration of subcarrier allocation, user with least normalized transmit rate has the priority to choose the best subcarrier. The computational complexity of the proposed algorithm is analyzed, as well as the fairness performance which is evaluated by a new proportional fairness index. 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The algorithm aims to maximum the total transmit rate subject to the overall transmit power constraint and proportional user rate constraint with knowledge of the channel information. The proposed algorithm divides the problem into two steps: bit loading and subcarrier allocation. Bit loading algorithm is easily implemented according to Shannon Theorem with uniformly allocated power on each subcarrier of every user. Then in each iteration of subcarrier allocation, user with least normalized transmit rate has the priority to choose the best subcarrier. The computational complexity of the proposed algorithm is analyzed, as well as the fairness performance which is evaluated by a new proportional fairness index. Compared with two typical suboptimal algorithms, the proposed algorithm can achieve a better balance in proportional fairness, complexity and total transmit rate.</description><subject>Adaptation model</subject><subject>bit loading</subject><subject>Channel capacity</subject><subject>Complexity theory</subject><subject>Loading</subject><subject>multi-user orthogonal frequency division multiplexing (Multi-user OFDM) systems</subject><subject>OFDM</subject><subject>proportional fairness(PF)</subject><subject>resource allocation</subject><subject>Resource management</subject><subject>Signal to noise ratio</subject><subject>subcarrier allocation</subject><isbn>1424469422</isbn><isbn>9781424469420</isbn><isbn>9781424469437</isbn><isbn>1424469430</isbn><isbn>1424469414</isbn><isbn>9781424469413</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j8FKw0AURUdEUGu-oJv5gdR5b14yfeBGotVApYLZl0wygUjilJlk0b-3Yns3h3sWF64QS1ArAMWPZVFW5dcK1Ulk-ZoN6SuRsFkDIVHOpM21uL8UxFuRxPitTsnQaJ3diafP4A8-TL3_qQcZXPRzaJysh8E39Z-VnQ9ynIepT-fogtxtXj5kPMbJjfFB3HT1EF1y5kJUm9eqeE-3u7eyeN6mPaspxdpqowG5AesUGGJWLVm2tiVC7pAUaMa2zQ2oLCcLrgHiXKN22BrQC7H8n-2dc_tD6Mc6HPfnv_oX0s9Ifg</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Xinfeng Zhao</creator><creator>Laibo Zheng</creator><creator>Mingjuan Huang</creator><creator>Jintang Wang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201012</creationdate><title>Proportional resource allocation for multi-user OFDM systems</title><author>Xinfeng Zhao ; Laibo Zheng ; Mingjuan Huang ; Jintang Wang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-2ab373129c1be0174990d4b9bbd4429f2401392dd6710564b1ec1496323e2d713</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptation model</topic><topic>bit loading</topic><topic>Channel capacity</topic><topic>Complexity theory</topic><topic>Loading</topic><topic>multi-user orthogonal frequency division multiplexing (Multi-user OFDM) systems</topic><topic>OFDM</topic><topic>proportional fairness(PF)</topic><topic>resource allocation</topic><topic>Resource management</topic><topic>Signal to noise ratio</topic><topic>subcarrier allocation</topic><toplevel>online_resources</toplevel><creatorcontrib>Xinfeng Zhao</creatorcontrib><creatorcontrib>Laibo Zheng</creatorcontrib><creatorcontrib>Mingjuan Huang</creatorcontrib><creatorcontrib>Jintang Wang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xinfeng Zhao</au><au>Laibo Zheng</au><au>Mingjuan Huang</au><au>Jintang Wang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Proportional resource allocation for multi-user OFDM systems</atitle><btitle>2010 IEEE International Conference on Information Theory and Information Security</btitle><stitle>ICITIS</stitle><date>2010-12</date><risdate>2010</risdate><spage>1100</spage><epage>1103</epage><pages>1100-1103</pages><isbn>1424469422</isbn><isbn>9781424469420</isbn><eisbn>9781424469437</eisbn><eisbn>1424469430</eisbn><eisbn>1424469414</eisbn><eisbn>9781424469413</eisbn><abstract>A novel resource allocation algorithm for multiuser OFDM systems with proportional fairness is presented in this paper. The algorithm aims to maximum the total transmit rate subject to the overall transmit power constraint and proportional user rate constraint with knowledge of the channel information. The proposed algorithm divides the problem into two steps: bit loading and subcarrier allocation. Bit loading algorithm is easily implemented according to Shannon Theorem with uniformly allocated power on each subcarrier of every user. Then in each iteration of subcarrier allocation, user with least normalized transmit rate has the priority to choose the best subcarrier. The computational complexity of the proposed algorithm is analyzed, as well as the fairness performance which is evaluated by a new proportional fairness index. Compared with two typical suboptimal algorithms, the proposed algorithm can achieve a better balance in proportional fairness, complexity and total transmit rate.</abstract><pub>IEEE</pub><doi>10.1109/ICITIS.2010.5689743</doi><tpages>4</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptation model bit loading Channel capacity Complexity theory Loading multi-user orthogonal frequency division multiplexing (Multi-user OFDM) systems OFDM proportional fairness(PF) resource allocation Resource management Signal to noise ratio subcarrier allocation |
| title | Proportional resource allocation for multi-user OFDM systems |
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