Duty Cycle and Channel Occupancy Rate Estimation with MED-FCME LAD ACC

Abstract

Duty cycle (DC) and channel occupancy rate (COR) measurements are important to characterize the availability of white space for cognitive radio systems. To facilitate accurate DC measurements, we apply the localization algorithm based on double-thresholding (LAD) with the adjacent cluster combining (ACC). In order to get stable thresholds, we propose and apply a modified version of the LAD ACC called the MED-FCME LAD ACC. We show that LAD ACC based approaches can also be used for COR estimation. For even more accurate COR estimation, we propose estimation based on hard decision fusion of the frequency domain decisions. Measurement results confirm the good performance of the proposed approaches.

Amplitude quantization method for autonomous threshold estimation in self-reconfigurable cognitive radio systems

“…In most cases, many notable ATAs are parametric-based algorithms, which depend on presumed noise distributions for their configuration. The forward consecutive mean excision (FCME) algorithm is an example of a popular ATA that depends on two basic parameters, namely the threshold factor and the percentage of clean elements [17,18]. In [18], authors configured the FCME algorithm using different noise distributions, such as the exponential distribution to develop theoretical formulas to compute , while assuming different values for .…”

“…The forward consecutive mean excision (FCME) algorithm is an example of a popular ATA that depends on two basic parameters, namely the threshold factor and the percentage of clean elements [17,18]. In [18], authors configured the FCME algorithm using different noise distributions, such as the exponential distribution to develop theoretical formulas to compute , while assuming different values for . In practice, such theoretically assumed distributions may deviate from the actual ground-truth, for example in cases where a small number of elements are sensed.…”

A cuckoo search optimization-based forward consecutive mean excision model for threshold adaptation in cognitive radio

“…The LAD ACC FCME algorithm addresses issues related to signal localization. The LAD ACC estimates channel occupancy and duty cycle rates accurately by reducing the probability of miss-detection [31]. However, the LAD ACC does not modify nor enhance the baseline FCME algorithm; instead it simply uses the baseline FCME algorithm to estimate double threshold values to improve the probability of signal detection in CR.…”

“…However, the LAD ACC does not modify nor enhance the baseline FCME algorithm; instead it simply uses the baseline FCME algorithm to estimate double threshold values to improve the probability of signal detection in CR. The m − dB approach is another variant of the baseline FCME algorithm [31,37]. The m − dB model simply adds a tolerance value, m, to the threshold value computed by the FCME algorithm.…”