Stochastic-Geometry Based Characterization of Aggregate Interference in TVWS Cognitive Radio Networks
In this paper, we characterize the worst-case interference for a finite-area TV white space heterogeneous network using the tools of stochastic geometry. We derive closed-form expressions on the probability distribution function (PDF) and an average value of the aggregate interference for various va...
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| Veröffentlicht in: | IEEE systems journal 2019-09, Vol.13 (3), p.2728-2731 |
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| container_issue | 3 |
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| container_title | IEEE systems journal |
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| creator | Deshmukh, Madhukar Mohanrao Zafaruddin, S. M. Mihovska, Albena Prasad, Ramjee |
| description | In this paper, we characterize the worst-case interference for a finite-area TV white space heterogeneous network using the tools of stochastic geometry. We derive closed-form expressions on the probability distribution function (PDF) and an average value of the aggregate interference for various values of path loss exponent under Rayleigh fading channel. The proposed characterization of the interference is simple and can be used in improving the spectrum access techniques. Using the derived PDF, we demonstrate the performance gain in the spectrum detection of an eigenvalue-based detector for cognitive radio networks. |
| doi_str_mv | 10.1109/JSYST.2019.2904584 |
| format | Article |
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Using the derived PDF, we demonstrate the performance gain in the spectrum detection of an eigenvalue-based detector for cognitive radio networks.</description><subject>Aggregate interference</subject><subject>Aggregates</subject><subject>Cognitive radio</subject><subject>cognitive radio (CR)</subject><subject>Distribution functions</subject><subject>Eigenvalues</subject><subject>Fading channels</subject><subject>Geometry</subject><subject>Interference</subject><subject>Probability density function</subject><subject>Probability distribution functions</subject><subject>Radio networks</subject><subject>Receivers</subject><subject>stochastic geometry</subject><subject>television white space (TVWS)</subject><subject>Transmitters</subject><issn>1932-8184</issn><issn>1937-9234</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PAjEQhjdGExH9A3pp4nmxX7ttj0gUMUQTQY2nTelOoShbbIsGf70gxNNMMu8zk3my7JzgDiFYXd2P3kbjDsVEdajCvJD8IGsRxUSuKOOHfz3NJZH8ODuJcY5xIQuhWhmMkjczHZMzeR_8AlJYo2sdoUa9mQ7aJAjuRyfnG-Qt6k6nAaY6ARo0m4mFAI0B5Bo0fnkdoZ6fNi65L0BPunYePUD69uE9nmZHVn9EONvXdvZ8ezPu3eXDx_6g1x3mhjGVciDCEltYqamhUugaF4pzJnRJDAGmgdd1OSHYMgbCcpiYgk9kLcyEGlbigrWzy93eZfCfK4ipmvtVaDYnK0qF2vxPym2K7lIm-BgD2GoZ3EKHdUVwtdVZ_emstjqrvc4NdLGDHAD8A7IUkinJfgFjunLQ</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Deshmukh, Madhukar Mohanrao</creator><creator>Zafaruddin, S. 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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Aggregate interference Aggregates Cognitive radio cognitive radio (CR) Distribution functions Eigenvalues Fading channels Geometry Interference Probability density function Probability distribution functions Radio networks Receivers stochastic geometry television white space (TVWS) Transmitters |
| title | Stochastic-Geometry Based Characterization of Aggregate Interference in TVWS Cognitive Radio Networks |
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