Adaptive Boundary Estimation Algorithm for Spectrum Sensing in Cognitive Radio Networks
نویسنده
چکیده
In a cognitive radio network, a primary user (PU) shares its spectrum with secondary users (SUs) temporally and spatially, while allowing for some interference. Consider the problem of estimating the no-talk region of the PU, i.e., the region outside which SUs may utilize the PU’s spectrum regardless of whether the PU is transmitting or not. And propose a adaptive boundary estimation algorithm that allows SUs to estimate the boundary of the no-talk region collaboratively through message passing between SUs, and analyze the trade-offs between estimation error, communication cost, setup complexity, throughput and robustness. This power spectrum value is compared with five methods namely Periodogram spectral estimate, Bartlett's spectral estimate, Welch spectral estimate, Blackman Tukey spectral estimate and Correlogram Spectral estimate. And simulation done using MATLAB. Keyword : cognitive radio network, Periodogram, no-talk region, Blackman Tukey and Correlogram
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 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 کاملSpectrum Assignment in Cognitive Radio Networks Using Fuzzy Logic Empowered Ants
The prevalent communications networks suffer from lack of spectrum and spectrum inefficiency. This has motivated researchers to develop cognitive radio (CR) as a smart and dynamic radio access promised solution. A major challenge to this new technology is how to make fair assignment of available spectrum to unlicensed users, particularly for smart grids communication. This paper introduces an i...
متن کاملCTA diffusion based recursive energy detection
Cognitive radio (CR) has been seen as a promising technology to make radio spectrum usage more effective by providing an opportunistic access for secondary users to the licensed spectrum areas. CR systems need to detect the presence of a primary user (PU) signal by continuously sensing the spectrum area of interest. Radiowave propagation effects like fading and shadowing often complicate the de...
متن کامل