OCDMA Channel Statistic as a Mixture of Chi-Square Distributions
Optical code division multiple access (OCDMA) systems, intensively investigated these last years, are known to suffer from multiple access interference (MAI). In addition, the photodetection process leads to beatings between the desired user information and the interferer ones, strongly degrading th...
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| creator | Sahuguede, S. Julien-Vergonjanne, A. Cances, J.-P. |
| description | Optical code division multiple access (OCDMA) systems, intensively investigated these last years, are known to suffer from multiple access interference (MAI). In addition, the photodetection process leads to beatings between the desired user information and the interferer ones, strongly degrading the system performance. To simplify the performance analysis, noise statistic is generally approximated by a Gaussian distribution which is not very accurate regarding to optical considerations. In this paper, by considering beat noise along with MAI, we develop a more precise analysis of the probability density function of the decision variable as a mixture of chi-square distributions. To investigate beat noise impact, the theoretical error probability expression is then determined. The results permit obtaining the conditions required to reach the optimal performance in beat noise corrupted OCDMA systems. |
| doi_str_mv | 10.1109/AICT.2009.49 |
| format | Conference Proceeding |
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The results permit obtaining the conditions required to reach the optimal performance in beat noise corrupted OCDMA systems.</description><subject>Degradation</subject><subject>Gaussian distribution</subject><subject>Gaussian noise</subject><subject>mixture of chi-square statistic</subject><subject>Multiaccess communication</subject><subject>Multiple access interference</subject><subject>OCDMA</subject><subject>optical channel</subject><subject>Optical noise</subject><subject>Performance analysis</subject><subject>Statistical analysis</subject><subject>Statistical distributions</subject><subject>System performance</subject><isbn>9781424438402</isbn><isbn>1424438403</isbn><isbn>9780769536118</isbn><isbn>0769536115</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9jr1PwzAQxY0QEqhkY2PJypBw_ortjSiltFKrDi1zdKkdxSg0kA8E_z2GIm55enc_3XuE3FBIKQVzn6-KfcoATCrMGYmM0qAyI3lGqT7_9VQwIbgWwC5JNAwvEEZILqm4Ig_bYr7J46LB49G18W7E0Q-jP8Q4xBhv_Oc49S7u6kD4ZPc-YXDzQPS-mkbfHYdrclFjO7joT2fkefG4L5bJevu0KvJ10jAwYyKtrp2yTLJQg4JlignHQWhE67SiViLUulKVq7i0zh7qcNDIKshCVyX4jNyd_jbYlm-9f8X-q-zQl8t8Xf7sADJhlDEfNLC3J9Y75_5hCSFTAP8GcDdW6g</recordid><startdate>200905</startdate><enddate>200905</enddate><creator>Sahuguede, S.</creator><creator>Julien-Vergonjanne, A.</creator><creator>Cances, J.-P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-1141-2874</orcidid><orcidid>https://orcid.org/0000-0003-0758-5462</orcidid></search><sort><creationdate>200905</creationdate><title>OCDMA Channel Statistic as a Mixture of Chi-Square Distributions</title><author>Sahuguede, S. ; Julien-Vergonjanne, A. ; Cances, J.-P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h209t-5d8fe7d25240210d2724e3048aade871d5a0f8b7beb35dedcfaad8a2b06045743</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Degradation</topic><topic>Gaussian distribution</topic><topic>Gaussian noise</topic><topic>mixture of chi-square statistic</topic><topic>Multiaccess communication</topic><topic>Multiple access interference</topic><topic>OCDMA</topic><topic>optical channel</topic><topic>Optical noise</topic><topic>Performance analysis</topic><topic>Statistical analysis</topic><topic>Statistical distributions</topic><topic>System performance</topic><toplevel>online_resources</toplevel><creatorcontrib>Sahuguede, S.</creatorcontrib><creatorcontrib>Julien-Vergonjanne, A.</creatorcontrib><creatorcontrib>Cances, J.-P.</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><collection>Hyper Article en Ligne (HAL)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sahuguede, S.</au><au>Julien-Vergonjanne, A.</au><au>Cances, J.-P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>OCDMA Channel Statistic as a Mixture of Chi-Square Distributions</atitle><btitle>2009 Fifth Advanced International Conference on Telecommunications</btitle><stitle>AICT</stitle><date>2009-05</date><risdate>2009</risdate><spage>248</spage><epage>253</epage><pages>248-253</pages><isbn>9781424438402</isbn><isbn>1424438403</isbn><eisbn>9780769536118</eisbn><eisbn>0769536115</eisbn><abstract>Optical code division multiple access (OCDMA) systems, intensively investigated these last years, are known to suffer from multiple access interference (MAI). In addition, the photodetection process leads to beatings between the desired user information and the interferer ones, strongly degrading the system performance. To simplify the performance analysis, noise statistic is generally approximated by a Gaussian distribution which is not very accurate regarding to optical considerations. In this paper, by considering beat noise along with MAI, we develop a more precise analysis of the probability density function of the decision variable as a mixture of chi-square distributions. To investigate beat noise impact, the theoretical error probability expression is then determined. The results permit obtaining the conditions required to reach the optimal performance in beat noise corrupted OCDMA systems.</abstract><pub>IEEE</pub><doi>10.1109/AICT.2009.49</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-1141-2874</orcidid><orcidid>https://orcid.org/0000-0003-0758-5462</orcidid></addata></record> |
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| ispartof | 2009 Fifth Advanced International Conference on Telecommunications, 2009, p.248-253 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Degradation Gaussian distribution Gaussian noise mixture of chi-square statistic Multiaccess communication Multiple access interference OCDMA optical channel Optical noise Performance analysis Statistical analysis Statistical distributions System performance |
| title | OCDMA Channel Statistic as a Mixture of Chi-Square Distributions |
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