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DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning
IEEE Conference on Computer Communications, 2021Spectrum sharing will be a key technology to tackle spectrum scarcity in the sub-6 GHz bands. To fairly access the shared bandwidth, wireless users will necessarily need to quickly sense large portions of spectrum and opportunistically access unutilized ...
Daniel Uvaydov +3 more
semanticscholar +1 more source
IRS-Enhanced Energy Detection for Spectrum Sensing in Cognitive Radio Networks
IEEE Wireless Communications Letters, 2021Energy detection is of crucial importance in cognitive radio networks. However, its performance is poor when the channel fading is severe, which causes interference to the primary users.
Wei Wu +6 more
semanticscholar +1 more source
Spectrum sensing in cognitive radio: A deep learning based model
Transactions on Emerging Telecommunications Technologies, 2021Spectrum sensing is an efficient technology for addressing the shortage of spectrum resources. Widely used methods usually employ model‐based features as the test statistics, such as energies and eigenvalues, ignoring the temporal correlation aspect ...
Huanlai Xing +5 more
semanticscholar +1 more source
Deep STFT-CNN for Spectrum Sensing in Cognitive Radio
IEEE Communications Letters, 2021Spectrum sensing is one of the crucial technologies used to solve the shortage of spectrum resources. In this letter, based on the short-time Fourier transform (STFT) and convolutional neural network (CNN), we firstly develop a STFT-CNN method for ...
Zhibo Chen +3 more
semanticscholar +1 more source
2010 Information Theory and Applications Workshop (ITA), 2010
A challenge met in realizing spectrum sensing for cognitive radio is how to identify occupied channels quickly, thus reducing the time required to identify unoccupied channels that can be utilized by the cognitive radio. The spectrum sensor makes a series of measurements and then utilizes those measurements to determine if the channel is occupied or ...
Wenyi Zhang 0006 +3 more
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A challenge met in realizing spectrum sensing for cognitive radio is how to identify occupied channels quickly, thus reducing the time required to identify unoccupied channels that can be utilized by the cognitive radio. The spectrum sensor makes a series of measurements and then utilizes those measurements to determine if the channel is occupied or ...
Wenyi Zhang 0006 +3 more
openaire +1 more source
Machine learning for cooperative spectrum sensing and sharing: A survey
Transactions on Emerging Telecommunications Technologies, 2021With the rapid development of next‐generation wireless communication technologies and the increasing demand of spectrum resources, it becomes necessary to introduce learning and reasoning capabilities in cognitive radio networks (CRN). In particular, our
Dimpal Janu +2 more
semanticscholar +1 more source
Spectrum sensor for distributed spectrum sensing
2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012For the efficient use of spectrum resource, it is important to understand spectrum occupancy at a high spatial resolution, so a large number of measurement locations are required. In this work, in order to increase measurement locations, we design and implement a low-end spectrum sensor which is capable of switching to different channels in a spectrum ...
Hojun Kim +3 more
openaire +1 more source
Ad hoc networks, 2021
In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its potential ability to integrate the physical world with the digital world. However, this digital revolution is driving an insatiable demand for wireless spectrum,
Ramsha Ahmed +3 more
semanticscholar +1 more source
In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its potential ability to integrate the physical world with the digital world. However, this digital revolution is driving an insatiable demand for wireless spectrum,
Ramsha Ahmed +3 more
semanticscholar +1 more source
Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications
IEEE Communications Surveys and Tutorials, 2017Abdelmohsen Ali, Walaa Hamouda
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Big-Data-Based Intelligent Spectrum Sensing for Heterogeneous Spectrum Communications in 5G
IEEE Wireless Communications, 2020Although spectrum sensing is commonly used in modern wireless communications to determine spectrum resources, the rapid development of wireless communications has generated massive heterogeneous spectrum data, which has dramatically increased the ...
Xin Liu, Qingquan Sun, Weidang Lu
exaly +2 more sources