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Usually energy-detection based spectrum sensing techniques for Cognitive Radios need, as preliminary operation, the spectrum segmentation in smaller sub-bands, in order to apply test statistic over each sub-band rather than over the entire span, resulting in a sensitivity and selectivity improvement of the output. Despite uniform subdivision is the easiest way, the problem resides on the optimal sub-band...
The rapid advancement in the era of wireless applications and services has made huge demand of spectrum resources. The cognitive radio is a new concept that can utilize radio spectrum resources efficiently and sufficiently. The spectrum sensing is a function of cognitive radio. This paper develops an energy detection algorithm based on wavelet packet transform for spectrum sensing. The performance...
The 2.4 GHz ISM band is crowded with a wide variety of wireless devices operating under various protocols. For many reasons, medical device manufacturers are increasingly incorporating wireless technologies into their devices, many of which operate in the ISM band. Monitoring and characterizing wireless spectrum utilization is vital to better plan wireless network deployments and to assess the risk...
The 2.4 GHz ISM band is crowded with a wide variety of wireless devices operating under various protocols. For many reasons, medical device manufacturers are increasingly incorporating wireless technologies into their devices, many of which operate in the ISM band. Monitoring and characterizing wireless spectrum utilization is vital to better plan wireless network deployments and to assess the risk...
This paper focuses on the quantization of soft decision based cooperative spectrum sensing (CSS). The soft data fusion CSS schemes in previous research works provide considerable enhancement in the probability of detection, but at the expense of increased bandwidth required for transmitting the sensing measurements to the Fusion Center (FC). In this paper, Maximum likelihood Estimation (MLE) statistics...
The dynamic spectrum allocation is important to improve spectrum efficiency usage of available radio spectrum. Cognitive radio has emerged as a solution to dynamic spectrum access, due to its adaptability and re-configurability. The main problem of cognitive radio is how the secondary users can detect the holes in the frequency band of the primary users. Spectrum sensing is the main feature of cognitive...
Spectrum sensing is fundamental functionality in Cognitive Radio (CR) to identify spectral white spaces for opportunistic communication. Around last decade thorough study of spectrum sensing suggests that traditional energy detection (ED) performance is better and fast at high SNR and worst in low SNR, whereas cyclostationary and Eigenvalue based methods perform better at low SNR, but implementation...
In recent years, spectrum scarcity is a major problem in wireless communication system which has been brought to a solution by using cognitive radio technology. This technology tends to increase the spectrum utilization. In this paper, an energy detection method has been proposed for proper utilization and allocation to the spectrum and also an overview of spectrum in Bangladesh. In real time system...
Cognitive Radio is a novel technology that can potentially improve the utilization efficiency of the radio spectrum by opportunistically using the unused frequency bands. Spectrum sensing is the key function of cognitive radio technology. However, detection is compromised when a user experiences shadowing or fading effects. In such cases, user cannot distinguish between an unused band and a deep fade...
Spectrum sensing allows the cognitive radio (CR) devices to determine the presence of licensed users in the chosen spectrum band. Though several sensing methods based on energy detection and cyclostationary feature extraction have been proposed, they fail to account for the location-specific results, and provide no incentive for the node to perform sensing at the cost of its own data throughput. In...
Fast and accurate spectrum sensing is one of the key functionalities in a cognitive radio (CR), targeted to exploit the unoccupied part of the licensed electromagnetic spectrum. The discrete Fourier transform filter bank (DFTFBs) employed in energy detection based spectrum sensing provides only fixed sensing resolution as it splits the wideband input signal into uniform bandwidth channels (frequency...
Conventional uniform discrete Fourier transform filter bank (DFTFB) used in energy detection based spectrum sensors provides only fixed sensing resolution. In this paper, we propose a progressive decimation filter bank (PDFB) that can provide variable sensing resolution and adapt to different detection bandwidths for wideband spectrum sensing in cognitive radios. From an initial fixed-coefficient...
Cognitive radio (CR) is a promising technology for the efficient use of available spectrum. Reliable detection of primary user (PR) signals and spectrum sensing are the most important challenges which meet the implementation of the CR. In CR's communications, the PR user must be protected from the interference from the CR users. This can be achieved only by using an optimal spectrum sensing. In this...
In a wireless regional area networks (WRAN) network, the presence of a wireless microphone (WM) signal must be detected as a primary user. However, very narrow bandwidth and low power makes it difficult to sense a WM signal. In this paper, a singular value decomposition (SVD)-based approach is presented to sense and estimate a WM signal. After performing SVD on the received data matrix, the presence...
In cognitive radio (CR) networks, cognitive users need to continuously monitor spectrum to detect the presence of primary users, yet attain a reasonable throughput. In this paper, we exploit a scheme to detect the primary transmitting signal as quickly as possible using energy detection, besides a necessary transmission rate of CR networks is sustained. Also the relationship between time and frequency...
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