Stochastic duty cycle model based on measurement for Cognitive Radio
Cognitive Radio (CR) is an influential technology which will radically change the spectrum regulation in future since its ability to provide efficient spectrum utilization. In the CR paradigm, unlicensed users get opportunistic access to the unused licensed spectrum without harmful interference to t...
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creator | Patil, K. Skouby, K. E. Prasad, R. |
description | Cognitive Radio (CR) is an influential technology which will radically change the spectrum regulation in future since its ability to provide efficient spectrum utilization. In the CR paradigm, unlicensed users get opportunistic access to the unused licensed spectrum without harmful interference to the incumbent users. The statistical information of current spectrum usage is necessary to find out the frequency bands for dynamic spectrum sharing through CR. In this context spectrum occupancy measurement has been conducted in Pune, India at different locations in the frequency band 700-2746.6 MHz. There are three contributions of this paper. First, we report the results of the spectrum occupancy measurement showing the impact of the measurement location on the spectrum occupancy. Second, we present the stochastic duty cycle model based on measurement to identify the potential for CR in the measured band. Third, we discuss the suitable wireless services in the identified band for CR. |
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E. ; Prasad, R.</creator><creatorcontrib>Patil, K. ; Skouby, K. E. ; Prasad, R.</creatorcontrib><description>Cognitive Radio (CR) is an influential technology which will radically change the spectrum regulation in future since its ability to provide efficient spectrum utilization. In the CR paradigm, unlicensed users get opportunistic access to the unused licensed spectrum without harmful interference to the incumbent users. The statistical information of current spectrum usage is necessary to find out the frequency bands for dynamic spectrum sharing through CR. In this context spectrum occupancy measurement has been conducted in Pune, India at different locations in the frequency band 700-2746.6 MHz. There are three contributions of this paper. First, we report the results of the spectrum occupancy measurement showing the impact of the measurement location on the spectrum occupancy. Second, we present the stochastic duty cycle model based on measurement to identify the potential for CR in the measured band. 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E.</creatorcontrib><creatorcontrib>Prasad, R.</creatorcontrib><title>Stochastic duty cycle model based on measurement for Cognitive Radio</title><title>The 15th International Symposium on Wireless Personal Multimedia Communications</title><addtitle>WPMC</addtitle><description>Cognitive Radio (CR) is an influential technology which will radically change the spectrum regulation in future since its ability to provide efficient spectrum utilization. In the CR paradigm, unlicensed users get opportunistic access to the unused licensed spectrum without harmful interference to the incumbent users. The statistical information of current spectrum usage is necessary to find out the frequency bands for dynamic spectrum sharing through CR. In this context spectrum occupancy measurement has been conducted in Pune, India at different locations in the frequency band 700-2746.6 MHz. There are three contributions of this paper. First, we report the results of the spectrum occupancy measurement showing the impact of the measurement location on the spectrum occupancy. Second, we present the stochastic duty cycle model based on measurement to identify the potential for CR in the measured band. Third, we discuss the suitable wireless services in the identified band for CR.</description><subject>Cognitive radio</subject><subject>dynamic spectrum access</subject><subject>Frequency measurement</subject><subject>Probability density function</subject><subject>spectrum occupancy</subject><subject>Wireless sensor networks</subject><issn>1347-6890</issn><isbn>9781467345330</isbn><isbn>1467345334</isbn><isbn>9789860334074</isbn><isbn>9860334072</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjstKxDAUQCMqOIz9Ajf5gULSe5vHUuoTBgZ09kOa3GqkbaTJCP17RV0dzuZwzlhltbFGCQAUGs9_XaLSgC2AuGAbCahrZay4YlXOH0IIaZU2IDfs7rUk_-5yiZ6HU1m5X_1IfEqBRt67TIGnmU_k8mmhiebCh7TwLr3NscQv4i8uxHTNLgc3Zqr-uWWHh_tD91Tv9o_P3e2ujlaUWiL2grQC2UsDvWh1oxsh2uAGDBYRQYLqw8-XJWq0J_Q-QGhaPUhjG4Qtu_nLRiI6fi5xcst6VGCNbhG-AadIR-A</recordid><startdate>201209</startdate><enddate>201209</enddate><creator>Patil, K.</creator><creator>Skouby, K. E.</creator><creator>Prasad, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201209</creationdate><title>Stochastic duty cycle model based on measurement for Cognitive Radio</title><author>Patil, K. ; Skouby, K. E. ; Prasad, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-144b0e7631b183b057272005daf4d94443136bd7839ee27ce4ccd3d257f189243</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Cognitive radio</topic><topic>dynamic spectrum access</topic><topic>Frequency measurement</topic><topic>Probability density function</topic><topic>spectrum occupancy</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Patil, K.</creatorcontrib><creatorcontrib>Skouby, K. E.</creatorcontrib><creatorcontrib>Prasad, R.</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>Patil, K.</au><au>Skouby, K. E.</au><au>Prasad, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Stochastic duty cycle model based on measurement for Cognitive Radio</atitle><btitle>The 15th International Symposium on Wireless Personal Multimedia Communications</btitle><stitle>WPMC</stitle><date>2012-09</date><risdate>2012</risdate><spage>128</spage><epage>132</epage><pages>128-132</pages><issn>1347-6890</issn><isbn>9781467345330</isbn><isbn>1467345334</isbn><eisbn>9789860334074</eisbn><eisbn>9860334072</eisbn><abstract>Cognitive Radio (CR) is an influential technology which will radically change the spectrum regulation in future since its ability to provide efficient spectrum utilization. In the CR paradigm, unlicensed users get opportunistic access to the unused licensed spectrum without harmful interference to the incumbent users. The statistical information of current spectrum usage is necessary to find out the frequency bands for dynamic spectrum sharing through CR. In this context spectrum occupancy measurement has been conducted in Pune, India at different locations in the frequency band 700-2746.6 MHz. There are three contributions of this paper. First, we report the results of the spectrum occupancy measurement showing the impact of the measurement location on the spectrum occupancy. Second, we present the stochastic duty cycle model based on measurement to identify the potential for CR in the measured band. Third, we discuss the suitable wireless services in the identified band for CR.</abstract><pub>IEEE</pub><tpages>5</tpages></addata></record> |
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identifier | ISSN: 1347-6890 |
ispartof | The 15th International Symposium on Wireless Personal Multimedia Communications, 2012, p.128-132 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Cognitive radio dynamic spectrum access Frequency measurement Probability density function spectrum occupancy Wireless sensor networks |
title | Stochastic duty cycle model based on measurement for Cognitive Radio |
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