Pattern classification based handoff using fuzzy logic and neural nets
Conventional handoff algorithms are susceptible to varying propagation environments, traffic intensities, and user speeds due to the lack of parameter adaptation. This paper proposes a new class of adaptive handoff algorithms that views the handoff problem as a pattern classification problem. Adapti...
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| container_end_page | 1737 vol.3 |
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| creator | Tripathi, N.D. Reed, J.H. Van Landingham, H.F. |
| description | Conventional handoff algorithms are susceptible to varying propagation environments, traffic intensities, and user speeds due to the lack of parameter adaptation. This paper proposes a new class of adaptive handoff algorithms that views the handoff problem as a pattern classification problem. Adaptive direction biasing is proposed to reduce the processing load and improve the cell membership properties. The paper shows that the desired balance among the system characteristics can be achieved by making appropriate design tradeoffs in a pattern classification based handoff framework. |
| doi_str_mv | 10.1109/ICC.1998.683126 |
| format | Conference Proceeding |
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This paper proposes a new class of adaptive handoff algorithms that views the handoff problem as a pattern classification problem. Adaptive direction biasing is proposed to reduce the processing load and improve the cell membership properties. The paper shows that the desired balance among the system characteristics can be achieved by making appropriate design tradeoffs in a pattern classification based handoff framework.</description><identifier>ISBN: 0780347889</identifier><identifier>ISBN: 9780780347885</identifier><identifier>DOI: 10.1109/ICC.1998.683126</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algorithm design and analysis ; Base stations ; Fuzzy logic ; Neural networks ; Pattern classification ; Performance evaluation ; System performance ; Telecommunication traffic ; Training data ; Wireless networks</subject><ispartof>ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. 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The paper shows that the desired balance among the system characteristics can be achieved by making appropriate design tradeoffs in a pattern classification based handoff framework.</description><subject>Algorithm design and analysis</subject><subject>Base stations</subject><subject>Fuzzy logic</subject><subject>Neural networks</subject><subject>Pattern classification</subject><subject>Performance evaluation</subject><subject>System performance</subject><subject>Telecommunication traffic</subject><subject>Training data</subject><subject>Wireless networks</subject><isbn>0780347889</isbn><isbn>9780780347885</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj09LwzAYhwMiqHNnwVO-QGv-NslRitPBYB70PN6keWekttKkh-3TW5jP5Tk88IMfIQ-c1Zwz97Rt25o7Z-vGSi6aK3LHjGVSGWvdDVnn_M0WlNbMiFuyeYdS4jTQ0EPOCVOAksaBesixo18wdCMinXMajhTn8_lE-_GYAl0CHeI8Qb-o5HtyjdDnuP73inxuXj7at2q3f922z7sqcSNKJUEGZF0IzEPjZGi8t5YL44VwSmgMiNYaRIfSW-eUYhokExxlY4wOTq7I42U3xRgPv1P6gel0uDyVf3DqSVg</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Tripathi, N.D.</creator><creator>Reed, J.H.</creator><creator>Van Landingham, H.F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1998</creationdate><title>Pattern classification based handoff using fuzzy logic and neural nets</title><author>Tripathi, N.D. ; Reed, J.H. ; Van Landingham, H.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-3a3cf0dcc0ba693c6bb88127b229425fcff887ff9f3b8994405a3021f36775c93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Algorithm design and analysis</topic><topic>Base stations</topic><topic>Fuzzy logic</topic><topic>Neural networks</topic><topic>Pattern classification</topic><topic>Performance evaluation</topic><topic>System performance</topic><topic>Telecommunication traffic</topic><topic>Training data</topic><topic>Wireless networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Tripathi, N.D.</creatorcontrib><creatorcontrib>Reed, J.H.</creatorcontrib><creatorcontrib>Van Landingham, H.F.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tripathi, N.D.</au><au>Reed, J.H.</au><au>Van Landingham, H.F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Pattern classification based handoff using fuzzy logic and neural nets</atitle><btitle>ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220)</btitle><stitle>ICC</stitle><date>1998</date><risdate>1998</risdate><volume>3</volume><spage>1733</spage><epage>1737 vol.3</epage><pages>1733-1737 vol.3</pages><isbn>0780347889</isbn><isbn>9780780347885</isbn><abstract>Conventional handoff algorithms are susceptible to varying propagation environments, traffic intensities, and user speeds due to the lack of parameter adaptation. This paper proposes a new class of adaptive handoff algorithms that views the handoff problem as a pattern classification problem. Adaptive direction biasing is proposed to reduce the processing load and improve the cell membership properties. The paper shows that the desired balance among the system characteristics can be achieved by making appropriate design tradeoffs in a pattern classification based handoff framework.</abstract><pub>IEEE</pub><doi>10.1109/ICC.1998.683126</doi></addata></record> |
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| identifier | ISBN: 0780347889 |
| ispartof | ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220), 1998, Vol.3, p.1733-1737 vol.3 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Base stations Fuzzy logic Neural networks Pattern classification Performance evaluation System performance Telecommunication traffic Training data Wireless networks |
| title | Pattern classification based handoff using fuzzy logic and neural nets |
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