Efficiency-Accuracy Trade-off for Spectrum Sensing in Cognitive Network

Abstract

S pectrum sensing is the first and foremost step in cognitive radio technology, where sensing efficiency and accuracy cannot be simultaneously optimized. Tradeoff between the two metrics is represented by sensing duration and sensing period, which are among the most important parameters in spectrum sensing. Aiming at maximize overall available spectrum opportunity, an efficiency-accuracy tradeoff is proposed with interference to licensed user under specified threshold. Based on Neyman-Pearson criterion, joint optimal mathematical model is established and closed-form expressions are derived. Optimal sensing parameters can be obtained and simulation results verified our proposed scheme .

Real-time adaptive spectrum sensing for cyclostationary and energy detectors

“…There are some works ( [22], [23], [24]) which examine the potential problems related to how long the sensing period should last so that an opportunity to utilize an unused chunk of the spectrum may not be lost, and also what the length of the transmission period of the SU should be, so that the chance that it will create interference to the returning PU, is minimal. All of these works consider computer simulations of a traditional ED, which operates within a scheme which incorporates the sensing and the transmission periods of the SU.…”

“…An expression, which takes into consideration the P d and P fa , the probability that the PU is active/absent from the band, and the distribution of the states of the PU (present/absent in the band) has been developed. In [22], the proposed framework uses the result given by the detector and combines it with the distribution of the states of the PU, as a renewal process function model. The optimal value of this function was found for a defined length of the frame of the SU.…”

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

“… Delay: Refers to the total time that the data (or packets) have taken from when the data is transmitted till it is successfully received, as in [62,64,[74][75][76][77][78][79][80][81][82].…”

“…Furthermore, these two main approaches include several approaches such as: (i) Optimizing threshold of detection, as in [ sensing outcomes from external sources, as in [132][133][134][135][136][137][138]. It is worth mentioning that several studies have been published on achieving accuracy-efficiency tradeoff, such as [75,76].…”

“…The algorithm was subjected to constraints of tolerance delay and minimum required data rate. To optimize sensing durations in CRAHNs, the authors in[76] proposed an efficiency-accuracy trade-off under a specified constant detection threshold. A novel Dynamic Discrete State-Model (DSM) for characterizing spectrum sensing process in CRAHN was proposed in…”