Statistical modeling of cognitive network interference
In this paper, we propose a new statistical interference model for cognitive network based on the amplitude aggregate interference, which accounts for the parameters related to the sensing procedure, spatial reuse protocol employed by secondary users, and environment dependent conditions like channe...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2011
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| Online Access: | http://hdl.handle.net/1721.1/66167 https://orcid.org/0000-0002-8573-0488 |
| _version_ | 1811081606695223296 |
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| author | Rabbachin, Alberto Quek, Tony Q. S. Win, Moe Z. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Rabbachin, Alberto Quek, Tony Q. S. Win, Moe Z. |
| author_sort | Rabbachin, Alberto |
| collection | MIT |
| description | In this paper, we propose a new statistical interference model for cognitive network based on the amplitude aggregate interference, which accounts for the parameters related to the sensing procedure, spatial reuse protocol employed by secondary users, and environment dependent conditions like channel fading and shadowing. We derive the characteristic function and the nth cumulant of the cognitive network interference on the primary user. By using the theory of truncated-stable distribution, we show how we can approximate the cognitive network interference analytically. We further show how to apply our model to derive system performance measure such as bit error probability in the presence of cognitive network interference. Moreover, this work can serve to bring additional understanding of cognitive network interference for successful deployment of cognitive networks in the future. |
| first_indexed | 2024-09-23T11:49:28Z |
| format | Article |
| id | mit-1721.1/66167 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:49:28Z |
| publishDate | 2011 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/661672022-10-01T06:15:26Z Statistical modeling of cognitive network interference Rabbachin, Alberto Quek, Tony Q. S. Win, Moe Z. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Win, Moe Z. Win, Moe Z. In this paper, we propose a new statistical interference model for cognitive network based on the amplitude aggregate interference, which accounts for the parameters related to the sensing procedure, spatial reuse protocol employed by secondary users, and environment dependent conditions like channel fading and shadowing. We derive the characteristic function and the nth cumulant of the cognitive network interference on the primary user. By using the theory of truncated-stable distribution, we show how we can approximate the cognitive network interference analytically. We further show how to apply our model to derive system performance measure such as bit error probability in the presence of cognitive network interference. Moreover, this work can serve to bring additional understanding of cognitive network interference for successful deployment of cognitive networks in the future. 2011-10-03T20:14:49Z 2011-10-03T20:14:49Z 2011-01 2010-12 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-5638-3 978-1-4244-5636-9 1930-529X E-ISBN: 978-1-4244-5637-6 INSPEC Accession Number: 11743906 http://hdl.handle.net/1721.1/66167 Rabbachin, Alberto, Tony Q. S. Quek, and Moe Z. Win. “Statistical Modeling of Cognitive Network Interference.” GLOBECOM 2010, 2010 IEEE Global Telecommunications Conference 2010. 1-6. © 2011 IEEE. https://orcid.org/0000-0002-8573-0488 en_US http://dx.doi.org/10.1109/GLOCOM.2010.5683500 IEEE Global Telecommunications Conference, GLOBECOM 2010 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Rabbachin, Alberto Quek, Tony Q. S. Win, Moe Z. Statistical modeling of cognitive network interference |
| title | Statistical modeling of cognitive network interference |
| title_full | Statistical modeling of cognitive network interference |
| title_fullStr | Statistical modeling of cognitive network interference |
| title_full_unstemmed | Statistical modeling of cognitive network interference |
| title_short | Statistical modeling of cognitive network interference |
| title_sort | statistical modeling of cognitive network interference |
| url | http://hdl.handle.net/1721.1/66167 https://orcid.org/0000-0002-8573-0488 |
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