An Optimal Antenna Assignment Strategy for Information Raining
This paper addresses the antenna assignment problem for distributed multiple-antenna architecture that enables wireless communication between onboard and ground in subway and railway. We propose a class of algorithms that match the assignment pattern to the large scale fading. Such algorithms are no...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2008-04, Vol.7 (4), p.1134-1139 |
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| container_title | IEEE transactions on wireless communications |
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| creator | Dayu Huang Pingyi Fan Ben Letaief, K. |
| description | This paper addresses the antenna assignment problem for distributed multiple-antenna architecture that enables wireless communication between onboard and ground in subway and railway. We propose a class of algorithms that match the assignment pattern to the large scale fading. Such algorithms are not constrained by short coherence time inherited in subway and railway. We will then derive an optimal antenna assignment strategy employing maximum ratio combining. Simulation results will be provided to demonstrate the advantages of the proposed strategy, which can also be applied to the recently proposed information raining system. |
| doi_str_mv | 10.1109/TWC.2008.060838 |
| format | Article |
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We propose a class of algorithms that match the assignment pattern to the large scale fading. Such algorithms are not constrained by short coherence time inherited in subway and railway. We will then derive an optimal antenna assignment strategy employing maximum ratio combining. Simulation results will be provided to demonstrate the advantages of the proposed strategy, which can also be applied to the recently proposed information raining system.</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/TWC.2008.060838</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>Piscataway, NJ: IEEE</publisher><subject>Algorithms ; Antennas ; Applied sciences ; Computational complexity ; Exact sciences and technology ; Fading ; Frequency synchronization ; Large-scale systems ; OFDM ; Optimization ; Pattern matching ; Radiocommunications ; Rail transportation ; Railroads ; Railway engineering ; Repeaters ; Strategy ; Subways ; Telecommunications ; Telecommunications and information theory ; Vehicles ; Wireless communication</subject><ispartof>IEEE transactions on wireless communications, 2008-04, Vol.7 (4), p.1134-1139</ispartof><rights>2008 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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We propose a class of algorithms that match the assignment pattern to the large scale fading. Such algorithms are not constrained by short coherence time inherited in subway and railway. We will then derive an optimal antenna assignment strategy employing maximum ratio combining. Simulation results will be provided to demonstrate the advantages of the proposed strategy, which can also be applied to the recently proposed information raining system.</description><subject>Algorithms</subject><subject>Antennas</subject><subject>Applied sciences</subject><subject>Computational complexity</subject><subject>Exact sciences and technology</subject><subject>Fading</subject><subject>Frequency synchronization</subject><subject>Large-scale systems</subject><subject>OFDM</subject><subject>Optimization</subject><subject>Pattern matching</subject><subject>Radiocommunications</subject><subject>Rail transportation</subject><subject>Railroads</subject><subject>Railway engineering</subject><subject>Repeaters</subject><subject>Strategy</subject><subject>Subways</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Vehicles</subject><subject>Wireless communication</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkc9LwzAUx4soOKdnD16KoJ66vTQ_ml6EMvwxGAx04jGkWTo62nQm2WH_vSkdHjzo5b0H-Xxf8s03iq4RTBCCfLr6nE1SAD4BBhzzk2iEKOVJmhJ-2s-YJSjN2Hl04dwWAGWM0lH0WJh4ufN1K5u4MF4bI-PCuXpjWm18_O6t9HpziKvOxnMTait93Zn4TdamNpvL6KySjdNXxz6OPp6fVrPXZLF8mc-KRaIIwj5hBCqpKgRluS6pXrNS4RQ055rxbK0UxWUYFWOlRgAEMKOyQjiXgEqkNMbj6GHYu7Pd1147L9raKd000uhu70QeJDjNgf5L8owC4XkGgbz_k8SEhJeQPIC3v8Btt7cm-BWcYZJxkrMATQdI2c45qyuxs-FX7UEgEH1AIgQk-oDEEFBQ3B3XSqdkU1lpVO1-ZCmkNFyPAnczcLXW-ueY9CYwxd8vRZdN</recordid><startdate>20080401</startdate><enddate>20080401</enddate><creator>Dayu Huang</creator><creator>Pingyi Fan</creator><creator>Ben Letaief, K.</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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We propose a class of algorithms that match the assignment pattern to the large scale fading. Such algorithms are not constrained by short coherence time inherited in subway and railway. We will then derive an optimal antenna assignment strategy employing maximum ratio combining. Simulation results will be provided to demonstrate the advantages of the proposed strategy, which can also be applied to the recently proposed information raining system.</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/TWC.2008.060838</doi><tpages>6</tpages></addata></record> |
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| ispartof | IEEE transactions on wireless communications, 2008-04, Vol.7 (4), p.1134-1139 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Antennas Applied sciences Computational complexity Exact sciences and technology Fading Frequency synchronization Large-scale systems OFDM Optimization Pattern matching Radiocommunications Rail transportation Railroads Railway engineering Repeaters Strategy Subways Telecommunications Telecommunications and information theory Vehicles Wireless communication |
| title | An Optimal Antenna Assignment Strategy for Information Raining |
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