Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/9967| Title: | Stochastic-Geometry Based Characterization of Aggregate Interference in TVWS Cognitive Radio Networks |
| Authors: | Zafaruddin, S.M. |
| Keywords: | EEE Aggregate interference Cognitive Radio (CR) Stochastic geometry Television white space (TVWS) |
| Issue Date: | Sep-2019 |
| Publisher: | IEEE |
| Abstract: | 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. |
| URI: | https://ieeexplore.ieee.org/abstract/document/8678398 http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9967 |
| Appears in Collections: | Department of Electrical and Electronics Engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.