On predicting large scale fading characteristics with the MR-FDPF method
The MR-FDPF (Multi-Resolution Frequency Domain Partial Flow) method is proven to be a fast and efficient method to simulate radio wave propagation. It is a deterministic model which can provide an accurate radio coverage prediction. In reality, radio channels have the nature of randomness due to e.g...
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| creator | Meiling Luo Lebedev, N. Villemaud, G. de la Roche, G. Jie Zhang Gorce, J. |
| description | The MR-FDPF (Multi-Resolution Frequency Domain Partial Flow) method is proven to be a fast and efficient method to simulate radio wave propagation. It is a deterministic model which can provide an accurate radio coverage prediction. In reality, radio channels have the nature of randomness due to e.g. moving people or air flow. Thus they can not be rigorously simulated by a pure deterministic model. However, it is believed that some statistics can be extracted from deterministic models and these statistics can be very useful to describe radio channels in reality. In this paper, large scale fading statistical characteristics are extracted based on the MR-FDPF method. They are validated by comparison to both the theoretical result and measurement. The match also demonstrates that MR-FDPF is capable of simulating large scale fading. |
| doi_str_mv | 10.1109/EuCAP.2012.6206282 |
| format | Conference Proceeding |
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The match also demonstrates that MR-FDPF is capable of simulating large scale fading.</description><subject>Atmospheric modeling</subject><subject>Channel models</subject><subject>Fading</subject><subject>Frequency measurement</subject><subject>Loss measurement</subject><subject>Receivers</subject><subject>Shadow mapping</subject><issn>2164-3342</issn><isbn>145770918X</isbn><isbn>9781457709180</isbn><isbn>1457709201</isbn><isbn>9781457709203</isbn><isbn>1457709198</isbn><isbn>9781457709197</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kFFLwzAUhSMqOOf-gL7kD7Tem7RJ-jjq6oTJhij4NrLkdo10c6QV2b-34vDpnPM9HA6HsVuEFBGK-9lXOV2lAlCkSoASRpyxa8xyraEY6Pl_QPN-wUYCVZZImYkrNum6DwDAIgdj1IjNl3t-iOSD68N-y1sbt8Q7Z1vitfW_yDU2WtdTDF0fXMe_Q9_wviH-_JJUD6uK76hvPv0Nu6xt29HkpGP2Vs1ey3myWD4-ldNFEnAYkBAq4ZC8cpta1UIZi4BGFx6ctdJL5Te5MSRqrYp88Np5kZNWtVFgQWo5Znd_vYGI1ocYdjYe16cX5A8D0k4g</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Meiling Luo</creator><creator>Lebedev, N.</creator><creator>Villemaud, G.</creator><creator>de la Roche, G.</creator><creator>Jie Zhang</creator><creator>Gorce, J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201203</creationdate><title>On predicting large scale fading characteristics with the MR-FDPF method</title><author>Meiling Luo ; Lebedev, N. ; Villemaud, G. ; de la Roche, G. ; Jie Zhang ; Gorce, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1342-e162c1ed6cbf6f268a101879d0caa3d36db588e2f7695db57cd25e76f860a0373</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Atmospheric modeling</topic><topic>Channel models</topic><topic>Fading</topic><topic>Frequency measurement</topic><topic>Loss measurement</topic><topic>Receivers</topic><topic>Shadow mapping</topic><toplevel>online_resources</toplevel><creatorcontrib>Meiling Luo</creatorcontrib><creatorcontrib>Lebedev, N.</creatorcontrib><creatorcontrib>Villemaud, G.</creatorcontrib><creatorcontrib>de la Roche, G.</creatorcontrib><creatorcontrib>Jie Zhang</creatorcontrib><creatorcontrib>Gorce, J.</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>Meiling Luo</au><au>Lebedev, N.</au><au>Villemaud, G.</au><au>de la Roche, G.</au><au>Jie Zhang</au><au>Gorce, J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On predicting large scale fading characteristics with the MR-FDPF method</atitle><btitle>2012 6th European Conference on Antennas and Propagation (EUCAP)</btitle><stitle>EuCAP</stitle><date>2012-03</date><risdate>2012</risdate><spage>2186</spage><epage>2190</epage><pages>2186-2190</pages><issn>2164-3342</issn><isbn>145770918X</isbn><isbn>9781457709180</isbn><eisbn>1457709201</eisbn><eisbn>9781457709203</eisbn><eisbn>1457709198</eisbn><eisbn>9781457709197</eisbn><abstract>The MR-FDPF (Multi-Resolution Frequency Domain Partial Flow) method is proven to be a fast and efficient method to simulate radio wave propagation. 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| issn | 2164-3342 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Atmospheric modeling Channel models Fading Frequency measurement Loss measurement Receivers Shadow mapping |
| title | On predicting large scale fading characteristics with the MR-FDPF method |
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