Proceedings ArticleDOI
Robust Distributed Spectrum Sensing in Cognitive Radio Networks
Ruiliang Chen,Jung-Min Park,Kaigui Bian +2 more
- pp 1876-1884
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TLDR
This work proposes a new data fusion technique that uses a variable number of samples, and introduces a reputation-based mechanism to the Sequential Probability Ratio Test (SPRT), which is evaluated by comparing it with a variety of data fusion techniques under various network operating conditions.Abstract:Â
Distributed spectrum sensing (DSS) enables a Cognitive Radio (CR) network to reliably detect licensed users and avoid causing interference to licensed communications. The data fusion technique is a key component of DSS. We discuss the Byzantine failure problem in the context of data fusion, which may be caused by either malfunctioning sensing terminals or Spectrum Sensing Data Falsification (SSDF) attacks. In either case, incorrect spectrum sensing data will be reported to a data collector which can lead to the distortion of data fusion outputs. We investigate various data fusion techniques, focusing on their robustness against Byzantine failures. In contrast to existing data fusion techniques that use a fixed number of samples, we propose a new technique that uses a variable number of samples. The proposed technique, which we call Weighted Sequential Probability Ratio Test (WSPRT), introduces a reputation-based mechanism to the Sequential Probability Ratio Test (SPRT). We evaluate WSPRT by comparing it with a variety of data fusion techniques under various network operating conditions. Our simulation results indicate that WSPRT is the most robust against the Byzantine failure problem among the data fusion techniques that were considered.read more
Citations
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Journal ArticleDOI
Autocorrelation-Based Decentralized Sequential Detection of OFDM Signals in Cognitive Radios
TL;DR: This paper introduces a simple and computationally efficient spectrum sensing scheme for Orthogonal Frequency Division Multiplexing (OFDM) based primary user signal using its autocorrelation coefficient and shows that the log likelihood ratio test (LLRT) statistic is the maximum likelihood estimate of the autoc orrelation coefficient in the low signal-to-noise ratio (SNR) regime.
Journal ArticleDOI
An anti-jamming stochastic game for cognitive radio networks
TL;DR: The proposed stationary policy in the anti-jamming game is shown to achieve much better performance than the policy obtained from myopic learning, which only maximizes each stage's payoff, and a random defense strategy, since it successfully accommodates the environment dynamics and the strategic behavior of the cognitive attackers.
Journal ArticleDOI
Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks
TL;DR: The proposed scheme is robust against Byzantine attacks and can successfully remove the Byzantines in a short time span and is also proposed a novel and easy to implement technique to counter Byzantine attacks in CRNs.
Journal ArticleDOI
A Distributed Consensus-Based Cooperative Spectrum-Sensing Scheme in Cognitive Radios
TL;DR: A fully distributed and scalable cooperative spectrum-sensing scheme based on recent advances in consensus algorithms that not only has proven sensitivity in detecting the primary user's presence but also has robustness in choosing a desirable decision threshold.
Book
Principles Of Cognitive Radio
TL;DR: 1. The concept of cognitive radio, capacity of cognitiveRadio networks, and Propagation issues for cognitive radio: a review.
References
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Book
Wireless Communications: Principles and Practice
TL;DR: WireWireless Communications: Principles and Practice, Second Edition is the definitive modern text for wireless communications technology and system design as discussed by the authors, which covers the fundamental issues impacting all wireless networks and reviews virtually every important new wireless standard and technological development, offering especially comprehensive coverage of the 3G systems and wireless local area networks (WLANs).
Journal ArticleDOI
Cognitive radio: brain-empowered wireless communications
TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Cognitive Radio An Integrated Agent Architecture for Software Defined Radio
TL;DR: This article briefly reviews the basic concepts about cognitive radio CR, and the need for software-defined radios is underlined and the most important notions used for such.
Proceedings ArticleDOI
Implementation issues in spectrum sensing for cognitive radios
TL;DR: To improve radio sensitivity of the sensing function through processing gain, three digital signal processing techniques are investigated: matched filtering, energy detection and cyclostationary feature detection.
Proceedings ArticleDOI
Collaborative spectrum sensing for opportunistic access in fading environments
Amir Ghasemi,Elvino S. Sousa +1 more
TL;DR: This paper studies spectrum-sharing between a primary licensee and a group of secondary users and suggests that collaboration may improve sensing performance significantly.