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Channel prediction-based user selection algorithm for multiuser environments
In this paper, we propose a channel prediction-based user selection algorithm for a single-cell wireless network with multiuser environments. The proposed algorithm focuses on mitigating the degradation of performance due to a feedback process. In particular, by using the Naive Bayes (NB) classifier...
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| creator | Jae Seong Jang Han Young Yim Kwang Bok Lee |
| description | In this paper, we propose a channel prediction-based user selection algorithm for a single-cell wireless network with multiuser environments. The proposed algorithm focuses on mitigating the degradation of performance due to a feedback process. In particular, by using the Naive Bayes (NB) classifier, the proposed algorithm selects the user who is expected to have the biggest channel gain after feedback delay. Simulation results show that the proposed algorithm mitigates a performance decrease of achievable rates. |
| doi_str_mv | 10.1109/ICTC.2010.5674667 |
| format | conference_proceeding |
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Simulation results show that the proposed algorithm mitigates a performance decrease of achievable rates.</description><subject>Delay</subject><subject>Downlink</subject><subject>Fading</subject><subject>Gain</subject><subject>Niobium</subject><subject>Prediction algorithms</subject><subject>Simulation</subject><issn>2162-1233</issn><isbn>9781424498062</isbn><isbn>1424498066</isbn><isbn>9781424498086</isbn><isbn>1424498082</isbn><isbn>1424498074</isbn><isbn>9781424498079</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVkM1OwzAQhI0AiarkARCXvECKvXbs9RFF_FSKxCX3ykk21ChxKjtF4u2pSi-cRt_MaA7D2IPgGyG4fdpWTbUBfsJSG6W1uWKZNSgUKGWRo77-xxpu2AqEhkKAlHcsS-mLcy4FopW4YnW1dyHQmB8i9b5b_ByK1iXq82OimCca6Wzmbvyco1_2Uz7MMZ-O4-LPDQrfPs5horCke3Y7uDFRdtE1a15fmuq9qD_ettVzXXjLlwKEMQi2U72k1nXlUPZtaUpQBluFTp9CRAWlRkMtaguaoOPgQGouFZFcs8e_WU9Eu0P0k4s_u8sd8hcYLVFL</recordid><startdate>201011</startdate><enddate>201011</enddate><creator>Jae Seong Jang</creator><creator>Han Young Yim</creator><creator>Kwang Bok Lee</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201011</creationdate><title>Channel prediction-based user selection algorithm for multiuser environments</title><author>Jae Seong Jang ; Han Young Yim ; Kwang Bok Lee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-2177829c4d3ebac5f5db5752478b48a678288425687eb86926e2c02a236034ee3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Delay</topic><topic>Downlink</topic><topic>Fading</topic><topic>Gain</topic><topic>Niobium</topic><topic>Prediction algorithms</topic><topic>Simulation</topic><toplevel>online_resources</toplevel><creatorcontrib>Jae Seong Jang</creatorcontrib><creatorcontrib>Han Young Yim</creatorcontrib><creatorcontrib>Kwang Bok Lee</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 Online</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>Jae Seong Jang</au><au>Han Young Yim</au><au>Kwang Bok Lee</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Channel prediction-based user selection algorithm for multiuser environments</atitle><btitle>2010 International Conference on Information and Communication Technology Convergence (ICTC)</btitle><stitle>ICTC</stitle><date>2010-11</date><risdate>2010</risdate><spage>239</spage><epage>240</epage><pages>239-240</pages><issn>2162-1233</issn><isbn>9781424498062</isbn><isbn>1424498066</isbn><eisbn>9781424498086</eisbn><eisbn>1424498082</eisbn><eisbn>1424498074</eisbn><eisbn>9781424498079</eisbn><abstract>In this paper, we propose a channel prediction-based user selection algorithm for a single-cell wireless network with multiuser environments. The proposed algorithm focuses on mitigating the degradation of performance due to a feedback process. In particular, by using the Naive Bayes (NB) classifier, the proposed algorithm selects the user who is expected to have the biggest channel gain after feedback delay. Simulation results show that the proposed algorithm mitigates a performance decrease of achievable rates.</abstract><pub>IEEE</pub><doi>10.1109/ICTC.2010.5674667</doi><tpages>2</tpages></addata></record> |
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| identifier | ISSN: 2162-1233 |
| ispartof | 2010 International Conference on Information and Communication Technology Convergence (ICTC), 2010, p.239-240 |
| issn | 2162-1233 |
| language | eng |
| recordid | cdi_ieee_primary_5674667 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Delay Downlink Fading Gain Niobium Prediction algorithms Simulation |
| title | Channel prediction-based user selection algorithm for multiuser environments |
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