Dynamic Threshold Based Spectrum Detection in Cognitive Radio Systems

Yu, Guicai; Shao, Yang; Long, Hua; Yue, Guangxin

doi:10.1109/wicom.2009.5301508

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…SS, as the most demanding activity of CR, enables SU (unlicensed users) to adapt to the environment by detecting spectrum portions unused by licensed network users (PU). The problem of SS can be mathematically expressed as a binary hypothesis [ 8 , 17 , 44 ]:

where

( n) is the noise signal received by the i-th SU,

is the signal received by the i-th SU during the n-th sample,

is a transmitted signal from i-th PU impacted by the temporary amplitude gain of the channel at the point of discrete time sample n , and N is the overall sample quantity (number of samples) used in the sensing.…”

Section: Energy Detection Modelmentioning

confidence: 99%

“…The ED approach impacted by NU variations and performed using DT adaptation [9,16,17,[38][39][40] Analyses of ED performance based on the selection of the appropriate value of the DT impacted by the NU variations…”

Section: Approach Analysed In the Literature Description Of The Analysed Approach The Merit Of The Analysed Approachmentioning

confidence: 99%

Section: Energy Detection Modelmentioning

confidence: 99%

“…While NU in SS makes the detection process with a fixed threshold unreliable, by contrast, the DT technique can cope with NUs through DT adaptation. Hence the techniques based on DT are more robust to noise [ 9 , 17 ], which motivates the investigation of DT adaptations in relation to ED performance in this survey.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Survey on the Energy Detection of OFDM Signals with Dynamic Threshold Adaptation: Open Issues and Future Challenges

Lörincz

Ramljak²,

Begušić

2021

Sensors

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Cognitive radio (CR), as a concept based on the ability to detect and share the unutilised spectrum, has been envisioned as a promising candidate to improve the efficiency of frequency spectrum assignments. For the realisation of the CR concept, energy detection (ED), as one of the available spectrum sensing methods, is broadly considered because of its low computational complexity and implementation costs. Due to the vast usage of the orthogonal frequency division multiplexing (OFDM) technique in contemporary communication systems, the ED of OFDM signals in the CR networks has become important for practical realisation. Since the ED accuracy of the OFDM signals can be improved by the sensing threshold adaptation, this paper surveys the impact of noise variations and dynamic threshold (DT) adaptation on the ED performance of OFDM signals. Analyses were performed by the simulation of the ED related to OFDM signals transmitted in the margin or rate adaptive and combined margin and rate adaptive OFDM systems. The results obtained through extensive simulations provide fundamental insights into how different factors, including the transmission power, the signal to noise ratio, the false alarm probability and the sample quantity, affect the ED efficiency. Comprehensive analyses of the obtained results indicate the main ED weaknesses and how the appropriate selection of analysed factors can enhance the ED processes for different OFDM systems. The observed ED weaknesses were further thoroughly surveyed, and the open issues and challenges related to the enhancement of the main ED limitations have been elaborated. The presented survey results can serve as a basis for the improvement of a broadly accepted ED method in CR networks.

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where

( n) is the noise signal received by the i-th SU,

is the signal received by the i-th SU during the n-th sample,

Section: Energy Detection Modelmentioning

confidence: 99%

Section: Approach Analysed In the Literature Description Of The Analysed Approach The Merit Of The Analysed Approachmentioning

confidence: 99%

Section: Energy Detection Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Survey on the Energy Detection of OFDM Signals with Dynamic Threshold Adaptation: Open Issues and Future Challenges

Lörincz

Ramljak²,

Begušić

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Burst transmission of mobile phone and guard band in spectrum is inherent characteristics of wireless communication, much of the assigned frequency band lies unused at any given time and location. In order to solve the conflicts between the limitation of the wireless spectrum and the rapid growth of wireless communication service arisen in the past decades [1], The federal communications commission(FCC) have defined the cognitive radios as radio systems that continuously perform spectrum sensing [2], The goal of the cognitive radio is to improve spectral efficiency by overlaying or underlaying new wireless radio systems on a licensed system, without interfering to the licensed system, and without changing its operations [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Approximate Entropy Detection Spectrum Sensing in Cognitive Radio

Chen

Deng

2014

2014 IEEE International Conference on Computer and Information Technology

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As a new type of radio system, Cognitive Radio(CR) is able to sense the spectrum condition, and according to the result of spectrum sensing to determine the free available frequency band for transmission, in which, the key problem is how to determine whether the spectrum band is idle. The letter presents a new spectrum sensing approach based approximate entropy(ApEn) to determine what spectrum is occupied in frequency. Simulation and analytical results show that the value of ApEn always decreases as the SNR increases, and the detector based ApEn have ability to effectively complete the spectrum sensing.

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A Dynamic Threshold-Based Cognitive Radio Energy Detection Algorithm for Multi-carrier Waveforms

Gupta,

Chauhan

et al. 2023

Algorithms for Intelligent Systems

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Dynamic Threshold Based Spectrum Detection in Cognitive Radio Systems

Cited by 10 publications

References 11 publications

A Survey on the Energy Detection of OFDM Signals with Dynamic Threshold Adaptation: Open Issues and Future Challenges

A Survey on the Energy Detection of OFDM Signals with Dynamic Threshold Adaptation: Open Issues and Future Challenges

Approximate Entropy Detection Spectrum Sensing in Cognitive Radio

A Dynamic Threshold-Based Cognitive Radio Energy Detection Algorithm for Multi-carrier Waveforms

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