AUC based Spectrum Sensing for Cognitive LTE Networks in Random Field of Interferers
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Long-term evolution (LTE) networks are expanding worldwide due to their capability to provide high data rates to fulfill the growing data needs of mobile subscribers. RF spectrum is limited but its underutilization means that more subscribers can be accommodated in the LTE network. The technology cognitive radio (CR) can increase the utilization of RF spectrum making more spectrum available to LTE networks. Utilization of RF spectrum fluctuates depending on time and location, meaning, specific spectrum is idle in some places and during some time intervals. This underutilized spectrum, called spectrum holes, is dynamically sensed by CR and used for communication. A spectrum sensing technique used in LTE should be simple to implement and highly reliable for accurately sensing spectrum holes. Energy detection (ED) is one of simplest and popular technologies used for spectrum sensing. However, energy detector performance degrades when interfering signals from random number of users are present. In contrast to the traditional detection performance evaluation using receiver operating characteristic (ROC) curves; the area under ROC curves (AUC) is a single figure of merit for ED performance evaluation. Thus, AUC based performance evaluation of ED is used in this report to quantify ED performance in the presence of fading and interfering signals from spectrum users. An increase in the number of antennas (antenna diversity) capturing the signal was used to take advantage of multipath signal propagation and was found to improve ED performance significantly.
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http://purl.org/coar/resource_type/c_93fc
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en