Results 241 to 250 of about 542,859 (281)

Adaptive Multiband Spectrum Sensing

IEEE Wireless Communications Letters, 2012
An adaptive multiband spectrum sensing procedure is developed for fast and reliably locating multiple idle ones among a large number of channels. Through an iterative exploration process to reduce the number of candidate channels, the limited sampling budget can be focused on the more promising locations of the spectrum, resulting in significant ...
Yan Feng, Xiaodong Wang 0001
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Spectrum sensing with multiple antennas

2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
The primary signal detection is an essential operation for the secondary spectrum usage. In this paper we extend the covariance based detection for multiple-antenna receiver. The proposed method uses the noise power estimation and does not suffer from the noise level uncertainty.
Ruttik Kalle, Jäntti Riku, Koufos Konstantinos   +2 more
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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, Aarron Younan, Dewan Ariful, Lining Zhang, Kemal Tepe   +4 more
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Explainable AI for Spectrum Sensing

2025 34th International Conference on Computer Communications and Networks (ICCCN)
In conventional paradigms of machine learning (ML) and deep learning (DL), models are trained as ’black boxes’ on task-specific datasets prior to deployment. This poses various challenges to the application of AI for spectral adaptation. First, we cannot ensure the reliability of the model, since we do not know how they correlate signal features with ...
Varun Magotra, Sirani M. Perera, Arjuna Madanayake, Houbing Herbert Song   +3 more
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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, Fei Song 0004, Qihui Wu 0001, Yulong Zou, Linyuan Zhang, Shuo Feng 0001, Jinlong Wang 0001   +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
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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, Delaere, Simon, Ballon, Pieter   +2 more
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Compressive Spectrum Sensing

2019
In this chapter, the authors discuss how compressive sensing can be used in wideband spectrum sensing in cognitive radio systems. Compressive sensing helps decrease the complexity and processing time and allows for higher data rates to be used, since it makes it possible for the signal to be sampled at rates lower than the Nyquist rate and still be ...
Said E. El-Khamy, Mina B. Abd el-Malek, Sara H. Kamel   +2 more
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Cooperative Spectrum Sensing

2014
The main objective of this chapter is to provide a detailed technical insight into latest key aspects of cooperative spectrum sensing. We focus on fusion strategies, quantization enhancements, effect of imperfect reporting channel, cooperative spectrum sensing scheduling, and utilizing cooperatively sensed data via Radio Environment Map (REM).
H. Birkan Yilmaz, Salim Eryigit, Tuna Tugcu   +2 more
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Spectrum Sensing in Cogintive Radio Using Cooperative Spectrum Sensing

2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), 2023
S Sivaranjani, Aarthi M, Aburva Sema I G, Anchanaa P, Femina Priyadharshini X   +4 more
openaire   +1 more source