Results 291 to 300 of about 4,727,301 (347)

Spectrum sensing challenges: blind sensing and sensing optimization

IEEE Instrumentation & Measurement Magazine, 2016
By any measure, wireless communications is one of the most evolving fields in engineering. This, in return, has imposed many challenges, especially in handling the hunger for higher data rates in the next generation wireless networks. Among these challenges is how to provide the needed resources in terms of the electromagnetic radio spectrum for these ...
Mohamed Hamid, Slimane Ben Slimane, Wendy Van Moer, Niclas Björsell   +3 more
openaire   +1 more source

Distributed Spectrum Sensing for IoT Networks: Architecture, Challenges, and Learning

IEEE Internet of Things Magazine, 2021
Spectrum sensing is believed to be a prominent solution to spectrum scarcity caused by the presence of a large number of devices, particularly in Internet of Things (IoT) applications.
Anastassia Gharib, W. Ejaz, M. Ibnkahla
semanticscholar   +1 more source

Spectrum sensing algorithm based on the modulation spectrum

2016 8th IEEE Latin-American Conference on Communications (LATINCOM), 2016
Spectrum sensing is without doubt the most important part in the implementation of cognitive radio networks. Therefore, many algorithms for signal detection of primary users have been proposed, being those based on spectral correlation the most outstanding, because of their good performance in environments with low signal-to-noise ratio.
Alfonso Prieto-Guerrero, Arturo Briones-Reyes   +1 more
openaire   +1 more source

Mobile distributed compressive sensing for spectrum sensing

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
This paper studies the effect of mobility on the sensing performance of a cognitive radio network with mobile nodes. The secondary nodes sense the spectrum using a distributed compressive sensing approach to detect the available channels. Distributed compressive sensing is suggested to reduce the number of samples by exploiting correlation between the ...
Veria Havary-Nassab, Shahrokh Valaee, Shahram Shahbazpanahi   +2 more
openaire   +1 more source

Cooperative spectrum sensing based on the compressed sensing

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015
In this paper, compressed sensing is applied to cooperative spectrum sensing to reduce the number of fused data. As the modification of OR fusion, DOR fusion is proposed as merger method to deal with information from different cognitive users. And then we analyze the relationship of detection performance and the number of users.
Yongkui Ma, Jiaxin Liu, Yulong Gao
openaire   +1 more source

Sensing-throughput tradeoff in cooperative spectrum sensing

2012 IEEE Globecom Workshops, 2012
In the current literature on cognitive radio, it is commonly assumed that fixed time durations are assigned for spectrum sensing and data transmission. It is however possible to improve the performance by finding the best tradeoff between sensing time and network throughput.
Mohsen Nader Tehrani, Murat Uysal
openaire   +1 more source

Analysis of Control Overheads in Dynamic Cooperative Spectrum Sensing

2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)
IEEE 802.22 Wireless Regional Area Network (WRAN) leverages Cognitive Radio (CR) technology to utilize unused TV white spaces for wireless broadband access in rural areas.
J. Bino, P. Bhuvaneswari, Sanjeetha Gowthaman, Parameswaran Ramesh, Md. Tabil Ahammed   +4 more
semanticscholar   +1 more source

Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach

IEEE Communications Letters, 2020
For most existing spectrum sensing detectors, the design of their test statistics relies on certain signal-noise model assumptions and hence, their detection performance heavily depends on the accuracy of the assumed models.
Jiandong Xie, Jun Fang, Chang Liu, Xuanheng Li   +3 more
semanticscholar   +1 more source

Cooperative Spectrum Sensing Optimization in Energy-Harvesting Cognitive Radio Networks

IEEE Transactions on Wireless Communications, 2020
This article focuses on the issue of cooperative spectrum sensing (CSS) in a mobile energy-harvesting cognitive radio network (EH-CRN), where secondary transmitters (STs) are powered by the radio-frequency (RF) signal emitted from primary transmissions ...
Xiaoying Liu, Kechen Zheng, Kaikai Chi, Yi-hua Zhu   +3 more
semanticscholar   +1 more source

Universal Quickest Spectrum Sensing

2016 IEEE Global Communications Conference (GLOBECOM), 2016
In modern cognitive ratio systems, the spectrum is becoming increasingly crowded and expensive; thus spectrum sensing becomes more important than ever before. Traditional spectrum sensing assumes Gaussian noise (or of other given distributions) in general. However when secondary users (SUs) have no prior information about the measurement distributions,
Yifan Wang 0002, Husheng Li
openaire   +1 more source