Abstract
Interference management is a major issue in underlay cognitive radio networks. In this paper, we focus on characterizing the statistics of the aggregate interference experienced by a primary user and evaluate its performance through important metrics such as outage probability, bit error rate and amount of fading. In previous works, the infinite interferers area assumption prevailed since it mainly simplifies the analysis. In contrast, we investigate the more realistic finite area, and further consider various practical spatial configurations. Two of the possible applications the proposed finite reconfigurable model can advocate are the IEEE 802.22 (WRAN) digital TV scenario and the aggregate interference considering different path loss exponents. We first derive the exact moment generating function (MGF) of the interference, then quantify the mean, the variance, and the skewness. Subsequently, the primary system performances are evaluated leading to novel expressions based on the interference MGF.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
