Wideband Spectrum Sensing Method Based on Channels Clustering and Hidden Markov Model Prediction
Spectrum sensing is the necessary premise for implementing cognitive radio technology. The conventional wideband spectrum sensing methods mainly work with sweeping frequency and still face major challenges in performance and efficiency.
Huan Wang +3 more
doaj +1 more source
Most of the compressive wideband spectrum sensing algorithms need to recover the spectrum, which require high computational complexity. Recently, a novel algorithm for compressive wideband sensing without spectrum recovery (NoR) was proposed.
Shiyu Ren +3 more
doaj +1 more source
Evaluation of the Effects of Compressive Spectrum Sensing Parameters on Primary User Behavior Estimation [PDF]
As the Internet of Things (IoT) technology is being deployed, the demand for radio spectrum is increasing. Cognitive radio (CR) is one of the most promising solutions to allow opportunistic spectrum access for IoT secondary users through utilizing ...
Ahmed Tawfik +2 more
doaj +1 more source
Spectrum Sensing in Wideband OFDM Cognitive Radios [PDF]
In this paper, spectrum sensing of an orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) is addressed. The goal is to identify the portions of the spectrum that are unused by primary user systems and other CR systems, called existing user (EU) systems altogether, with the emphasis on conquering the challenge imposed by ...
Chien-Hwa Hwang +2 more
openaire +1 more source
A Sequential Compressed Spectrum Sensing Algorithm against SSDH Attack in Cognitive Radio Networks
Spectrum sensing is one of the key technologies in wireless wideband communication. There are still challenges in respect of how to realize fast and robust wideband spectrum sensing technology.
Zhuhua Hu +4 more
doaj +1 more source
Multiband Spectrum Access: Great Promises for Future Cognitive Radio Networks [PDF]
Cognitive radio has been widely considered as one of the prominent solutions to tackle the spectrum scarcity. While the majority of existing research has focused on single-band cognitive radio, multiband cognitive radio represents great promises towards ...
Ghaith Hattab +2 more
core +1 more source
A NLLS based sub-Nyquist rate Spectrum Sensing for Wideband Cognitive Radio [PDF]
For systems and devices, such as cognitive radio and networks, that need to be aware of available frequency bands, spectrum sensing has an important role.
Haghighi, Kasra +3 more
core +1 more source
Wideband Sequential Spectrum Sensing with Varying Thresholds [PDF]
In this contribution, time varying threshold sequential detectors are employed for energy detection-based spectrum sensing in low- SNR regimes. Sequential detection is proven to be faster (on average) than any other multi-sample detector for a set of given probabilities of detection and false-alarm.
Kasra Haghighi +2 more
openaire +1 more source
Over-the-air computation for cooperative wideband spectrum sensing and performance analysis [PDF]
For sensor network aided cognitive radio, cooperative wideband spectrum sensing can distribute the sampling and computing pressure of spectrum sensing to multiple sensor nodes (SNs) in an efficient way.
Chen, Li +4 more
core +1 more source
Cooperative Wideband Spectrum Sensing Over Fading Channels [PDF]
In cognitive radio (CR) systems, it is crucial for secondary users to reliably detect spectral opportunities across a wide frequency range. This paper studies a novel multirate sub-Nyquist spectrum sensing (MS3) system capable of performing wideband spectrum sensing in a cooperative CR network over fading channels.
Hongjian Sun +3 more
openaire +2 more sources

