Proceedings ArticleDOI
Adaptive Two Thresholds Based Energy Detection For Cooperative Spectrum Sensing
Chunyi Song,Yohannes D. Alemseged,Ha Nguyen Tran,Gabriel Porto Villardi,Chen Sun,Stanislav Filin,Hiroshi Harada +6 more
- pp 807-812
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TLDR
An adaptive two thresholds based energy detection and a two stage HIC based cooperative decision for cooperative spectrum sensing to improve the sensing reliability in the circumstance with heavy noise uncertainty is proposed.Abstract:
In cognitive radio networks, secondary users need to conduct spectrum sensing to properly detect the presence of primary signals that may have much lower power than noise plus interference power. In such a case, time-varying noise plus interference, which is briefly called noise uncertainty in this paper, can substantially degrade the sensing reliability of hard information combining (HIC) and soft information combining (SIC). To improve the sensing reliability in the circumstance with heavy noise uncertainty, we propose an adaptive two thresholds based energy detection and a two stage HIC based cooperative decision for cooperative spectrum sensing. The proposed sensing technique has shown better performance than conventional HIC and comparable performance with SIC when a small number of sensing nodes are used in spectrum sensing.read more
Citations
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Journal ArticleDOI
Cooperative Spectrum Sensing Based on Two-Stage Detectors With Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks
TL;DR: In this article, the authors proposed a two-stage detectors for spectrum sensing in cognitive radio networks, where the first stage consists of multiple energy detectors, where each energy detector has a single antenna with fixed threshold for making a local binary decision.
Journal ArticleDOI
Adaptive double-threshold based energy detector for spectrum sensing in cognitive radio networks
TL;DR: An energy detector utilizing adaptive double threshold (ED_ADT) for spectrum sensing, which improves detection performance as well as overcomes sensing failure problem is proposed.
Proceedings ArticleDOI
Review of spectrum sensing techniques in Cognitive Radio networks
TL;DR: Various transmitter detection techniques are implemented: Energy detection, Matched filter and Cyclostationary feature detection in MATLAB along with other techniques to enhance the detection performance of the conventional Energy detector.
Journal ArticleDOI
Two-Stage Detectors with Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks
TL;DR: Numerical results show that the proposed scheme improves detection performance and outperforms the cyclostationary-based sensing method and adaptive spectrum sensing by 12.3% and 14.4% at signal to noise ratio (SNR) setting of as low as −8 dB, respectively.
Journal ArticleDOI
Cooperative spectrum sensing against noise uncertainty using Neyman-Pearson lemma on fuzzy hypothesis test
TL;DR: A new spectrum sensing method based on the fuzzy hypothesis test (FHT) that utilizes membership functions as hypotheses for the modeling and analyzing such uncertainty and considerably outperforms the methods with a bi-thresholds energy detector and a simple energy detector in the presence of the noise power uncertainty.
References
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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.
Journal ArticleDOI
Cognitive radio: making software radios more personal
TL;DR: With RKRL, cognitive radio agents may actively manipulate the protocol stack to adapt known etiquettes to better satisfy the user's needs and transforms radio nodes from blind executors of predefined protocols to radio-domain-aware intelligent agents that search out ways to deliver the services the user wants even if that user does not know how to obtain them.
Journal ArticleDOI
A survey of spectrum sensing algorithms for cognitive radio applications
T. Yucek,Huseyin Arslan +1 more
TL;DR: In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented and the cooperative sensing concept and its various forms are explained.
Journal ArticleDOI
SNR Walls for Signal Detection
Rahul Tandra,Anant Sahai +1 more
TL;DR: It is argued that the tension between primary and secondary users is captured by the technical question of computing the optimal tradeoff between the primary user's capacity and the secondary user's sensing robustness as quantified by the SNR wall.
Journal ArticleDOI
Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks
Jun Ma,Guodong Zhao,Ye Li +2 more
TL;DR: It is shown in this paper that an SNR wall reduction can be achieved by employing cooperation among independent cognitive radio users and a new softened hard combination scheme with two-bit overhead for each user is proposed to achieve a good tradeoff between detection performance and complexity.