Simulink based Cooperative (Hard Decision Fusion) and Non-Cooperative Spectrum Sensing in Cognitive Radio Using Cyclostationary Detection
نویسندگان
چکیده
Radio frequency spectrum is a quite limited resource. With the increased dependence on modern wireless devices, the management and proper utilization of the spectrum has become a major challenge. The concept of cognitive radio aims to overcome these problems by helping to achieve improved spectral management, utilization, and efficiency. To sense the unoccupied spectrum gap is one of the essential tasks of cognitive radio. There are many spectrum sensing algorithms available for cognitive radio. This paper describes cyclostationary based detection method of cooperative and non-cooperative spectrum sensing for cognitive radio. The fusion method used for the cooperative sensing is the hard fusion detection method. Cyclostationary based detection method is used to sense the unoccupied spectrum gap through cyclic autocorrelation function in Simulink.. We also spoke about the basics of Cognitive Radio and implemented Simulink models for both Cooperative and Non-Cooperative spectrum sensing methods. Also the merits and demerits of the Cyclostationary Detection technique has been mentioned. In this research paper all these things have been discussed.
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 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 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 کاملHard Decision Fusion based Cooperative Spectrum Sensing in Cognitive Radio System
Cooperative spectrum sensing was proposed to combat fading, noise uncertainty, shadowing, and even hidden node problem due to primary users (PUs) activity that is not spatially localized. It improves the probability of detection by collaborating to detect PUs signal in cognitive radio (CR) system as well. This paper studies cooperative spectrum sensing and signal detection in CR system by imple...
متن کاملCyclostationary Detection Based Spectrum Sensing for Cognitive Radio Networks
In this paper, cyclostationary detection Based spectrum sensing is considered for cognitive radio networks. We first summarize the existing first-order and second-order cyclostationary detection algorithms, which can be considered as a brief tutorial on detection theory of the cyclostationary signals. Based on this, we propose a cooperative spectrum sensing method for a cognitive radio networks...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014