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Multiplatform Spectrum Sensing Prototype

2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 2018
Smart spectrum sharing initiatives have been stimulated by the spectrum scarcity experienced nowadays. The option that secondary users may access idle channels avoiding harmful interferences to primary users is a viable option to alleviate the spectrum crunch.
Danilo Corral-De-Witt   +4 more
openaire   +1 more source

Robust Spectrum Sensing With Crowd Sensors

IEEE Transactions on Communications, 2014
This paper investigates the issue of cooperative spectrum sensing with a crowd of low-end personal spectrum sensors (such as smartphones, tablets, and in-vehicle sensors), where one critical challenge is the uncertainty of the quality of sensing data from crowd sensors that may be unreliable, untrustworthy, or even malicious.
Guoru Ding   +6 more
openaire   +1 more source

Privacy-preserving crowdsourced spectrum sensing

IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 2016
Crowdsourced spectrum sensing has great potential in improving current spectrum database services. Without strong incentives and location privacy protection in place, however, mobile users will be reluctant to act as mobile crowdsourcing workers for spectrum sensing tasks.
Xiaocong Jin, Yanchao Zhang
openaire   +2 more sources

Classification of Business Scenarios for Spectrum Sensing

SSRN Electronic Journal, 2010
Because of ever growing use of wireless applications and inflexibilities in the current way spectrum is allocated, spectrum is becoming more and more scarce. One of the methods to overcome this is spectrum sensing. In spectrum sensing research, use case analysis is often used to determine challenges and opportunities for this technology.
Barrie, Matthias   +2 more
openaire   +2 more sources

Spectrum Sensing in Cogintive Radio Using Cooperative Spectrum Sensing

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), 2023
S Sivaranjani   +4 more
openaire   +1 more source

A Review of Research on Spectrum Sensing Based on Deep Learning

Electronics (Switzerland), 2023
Zhongqiang Luo, Yixuan Zhang
exaly  

Big-Data-Based Intelligent Spectrum Sensing for Heterogeneous Spectrum Communications in 5G

IEEE Wireless Communications, 2020
Celimuge Wu, Xin Liu, Weidang Lu
exaly  

Spectrum Sensing

2017
Linling Kuang   +3 more
openaire   +1 more source

A survey of spectrum sensing algorithms for cognitive radio applications

IEEE Communications Surveys and Tutorials, 2009
Huseyin Arslan
exaly  

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