Performance Evaluation for the Two-Stage Cooperative Spectrum Sensing Scheme in Cognitive Radio
نویسندگان
چکیده
In order to obtain more precise spectrum sensing performance in cognitive radio networks, a twostage spectrum sensing approach is investigated. More specifically, a coarse spectrum sensing based on energy detection is introduced in the first stage. When the sensing decision is idle channel by coarse sensing, a fine spectrum sensing based on first order cyclostationary feature detection is exploited in the second stage. Moreover, the problem formulation and discussion of two-stage spectrum sensing is presented. Optimization algorithm is to maximize the throughput under the probability of error sensing constraint. Numerical results show that the sensing performance is improved significantly as opposed to conventional one stage spectrum sensing. Key-Words: cognitive radio; two-stage spectrum sensing; performance evaluation; energy detection; first order cyclostationary feature detection
منابع مشابه
Spectrum Sensing Data Falsification Attack in Cognitive Radio Networks: An Analytical Model for Evaluation and Mitigation of Performance Degradation
Cognitive Radio (CR) networks enable dynamic spectrum access and can significantly improve spectral efficiency. Cooperative Spectrum Sensing (CSS) exploits the spatial diversity between CR users to increase sensing accuracy. However, in a realistic scenario, the trustworthy of CSS is vulnerable to Spectrum Sensing Data Falsification (SSDF) attack. In an SSDF attack, some malicious CR users deli...
متن کاملAttack-Aware Cooperative Spectrum Sensing in Cognitive Radio Networks under Byzantine Attack
Cooperative Spectrum Sensing (CSS) is an effective approach to overcome the impact of multi-path fading and shadowing issues. The reliability of CSS can be severely degraded under Byzantine attack, which may be caused by either malfunctioning sensing terminals or malicious nodes. Almost, the previous studies have not analyzed and considered the attack in their models. The present study introduc...
متن کاملAn Effective and Optimal Fusion Rule in the Presence of Probabilistic Spectrum Sensing Data Falsification Attack
Cognitive radio (CR) network is an excellent solution to the spectrum scarcity problem. Cooperative spectrum sensing (CSS) has been widely used to precisely detect of primary user (PU) signals. The trustworthiness of the CSS is vulnerable to spectrum sensing data falsification (SSDF) attack. In an SSDF attack, some malicious users intentionally report wrong sensing results to cheat the fusion c...
متن کاملSecure Collaborative Spectrum Sensing in the Presence of Primary User Emulation Attack in Cognitive Radio Networks
Collaborative Spectrum Sensing (CSS) is an effective approach to improve the detection performance in Cognitive Radio (CR) networks. Inherent characteristics of the CR have imposed some additional security threats to the networks. One of the common threats is Primary User Emulation Attack (PUEA). In PUEA, some malicious users try to imitate primary signal characteristics and defraud the CR user...
متن کاملA Novel Two-Stage Entropy-Based Robust Cooperative Spectrum Sensing Scheme with Two-Bit Decision in Cognitive Radio
Spectrum sensing is a key problem in cognitive radio.However, traditional detectors become ineffective when noise uncertainty is severe. It is shown that the entropy of Gauss white noise is constant in the frequency domain, and a robust detector based on the entropy of spectrum amplitude was proposed. In this paper a novel detector is proposed based on the entropy of spectrum power density, and...
متن کامل