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In cognitive radio networks, malicious user (MU) sends a signal which is similar to the primary user's (PU) signal, leading to the secondary user (SU) can't access to the spectrum of communication networks, which is named primary user emulation attack (PUEA). In this paper, we first propose a cognitive radio networks model with motional users, while MU and SUs are made up of an approximation centralized...
Cognitive radio is a promising technology to solve the shortage of spectrum resource. As sensing nodes of the network, secondary users are usually battery powered. Making full use of the energy should also be considered while designing the network. In this paper, we consider the overall throughput of the system and energy consumption. We propose a model of throughput and energy consumption to discuss...
BPSK interference is also called the matched spectrum interference, because its wave form and frequency coverage matches that of satellite navigation signal. As efficient wideband interference, it heavily menaces the safety of Global Navigation Satellite System (GNSS) and is taken as an important target of interference monitoring. However, there are hardly any researches on signal separation and parameter...
In cognitive radio networks, the improved energy detector is a very useful detector for the random signals corrupted by Gauss noise. In the single node sensing, we research the change of p values which has impacted on system performance under certain signal to noise ratio and obtain the optimal p values making the Bayes risk minimum. In the cooperative spectrum sensing, we use “K-out-of-N” rule and...
Space shift keying (SSK) modulation is a newly emerging transmission technology for multiple-input multiple-output (MIMO) wireless systems. In this paper, we propose a novel high rate transmit diversity assisted space shift keying (HT-SSK) modulation scheme to achieve the transmit diversity gain over SSK system with high spectrum efficiency. We first apply antenna shift method at each time slot to...
An analysis for wideband spectrum sensing of many primary users active in cognitive radios has been presented. The spectrum holes occur while all the signals in wide band are detected and separated. This paper focuses on the multi-signals separation problem while the signal number is uncertain and the noise floor spectrum is non-flat. The wideband spectrum is recursively divided into smaller scale...
This paper investigates the Dynamic Subcarrier Allocation (DSA) issue in Long Term Evaluation (LTE) uplink. Many researches pay more attention on maximizing the system throughput or improving the fairness between multi-users, however, they ignored the user actual spectrum demand. In this paper, an improved subcarrier allocation scheme has been proposed, which considers the user demand of quality of...
In the existing distributed cooperative spectrum sensing schemes, cooperation based on consensus algorithms is a research hotspot. However, the existing methods haven't embodied the reliability difference among cognitive radio users, so there is an enormous scope to improve the accuracy. In this paper, we propose a weighted average consensus-based distributed compressive spectrum sensing (PE-WDCS)...
Due to the situation that the mobile data traffic grows rapidly and users continue to improve the quality of service requirements, the operators which are lack of part of the spectrum resources make a weak response. While precise deployment of small cell with the same frequency in the macro cell is a better solution. In this paper, the network analysis and verification result is shown which is in...
With the development of LTE-A technology, spectrum aggregation, relay and other technologies have been applied to the next generation of wireless communication network. However, current research is mostly focus on only one kind of technology, when these technologies coming together, a lot of prerequisites often have been destroyed, and it becomes difficult to achieve. In this paper, we take spectrum...
This paper presents a wideband spectrum sensing methods based on the sparse fast Fourier transform applying for Eband, which can capture spectrum in real-time without sampling the signal at the Nyquist rate. Our approach builds on recent advances in the area of sparse Fourier transform. At first, we convert the signal of E-band to the baseband, and then sample the wide baseband signal at a low sampling...
In the existing cooperative spectrum sensing, fusion centers (FC) fuses these data received from cognitive users (CUs) without screening, which provides more opportunities for malicious users (MUs) hiding in the legal users to launch spectrum sensing data falsification (SSDF) attacks, SSDF easily mislead the FC to make incorrect decisions, resulting in reducing accuracy of spectrum detection. So,...
Spectrum sensing is the key technology in enabling spectrum awareness in cognitive radio. The performance of the spectrum sensing depends on the sensing method. In this paper, by means of random matrix theory (RMT), a novel spectrum sensing scheme and a threshold decision rule are proposed based on the difference between the maximum and the minimum eigenvalue (DMM) cooperative spectrum sensing algorithm,...
Compress sensing (CS) for power spectrum reconstruction (PSR) enables precise and efficient spectrum sensing in cognitive radio networks. Existing CS schemes mainly focus on reconstruction of the original signal, and thus are not appropriate for PSR reconstruction. To counteract this drawback, this letter proposed a cooperative scheme of CS for PSR named decorrelation scheme. A PSR model for cooperative...
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