Spectrum sensing performance with adaptive threshold in MIMO cognitive radio

Çakır, Abdülkadir Can; Yiğıt, Halil

doi:10.1109/siu.2017.7960619

Cited by 2 publications

(4 citation statements)

References 5 publications

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“…The ED approach with DT adaptation and without the impact of NU variations [8,10,11,13,37] Analyses of ED performance based on the selection of the appropriate value of the DT Somewhat improved detection probability of ED method due to exploitation of DT adaptation but less realistic due to neglecting the impact of NU variations…”

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

confidence: 99%

“…In the case of the DT approach, a priori knowledge of the PU signal and noise floor level is not required. Some of the DT techniques are Otsu’s algorithm, Principal Component Analysis, Maximum Normal Fit and Recursive One-Sided Hypothesis Testing [ 9 , 10 , 12 , 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

“…Simulation of ED process 1:INPUT:OFDM signal (ofdm_signal), len_ofdm_data, sample quantity (N), SNR, NU factor (ρ), DT factor (ρ ), noise variance (σ 2 n i ), length of (P f a i ), and number of Monte Carlo simulations (kk) 2: OUTPUT: Detection probability (P NUDTd i ) 3: INITIALISE: OFDM signal (ofdm_signal)Step 1: Simulation Detection probability (P d i ) vs. Probability of False Alarm (P f a i ) based on(13,18,21,25) 4:…”

mentioning

confidence: 99%

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

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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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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“…65,88,95,96 Therefore, interference-based detection techniques are different from the transmitter-centric approaches, but similar to ultrawideband (UWB) technology which mitigates interference at the receiver of the PU. 97,98 This is achieved by setting an upper limit of interference to prevent harmful interference to the PU signal. In addition, it is a new DSA concept.…”

Section: Interference-based Detectionmentioning

confidence: 99%

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

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Integral and crucial to performance of wireless sensor networks (WSNs), and specifically industrial wireless sensor network (IWSN) is stable, robust, reliable, and ubiquitous communications system. Though, wired communications system is suitable for industrial communications and is resilient to shadowing and multipath fading effects of industrial‐WSN environments, yet its wireless counterpart is a much preferred industrial communications technology due to reduced cost and high flexibility which it offers in comparison to wired communications. However, overcrowding of the industrial, scientific, and medical band, where IWSN is deployed together with other heterogeneous technologies, as well as resultant scarcity of usable frequency spectrum has restrained exclusive application of wireless technology for industrial communications. Nonetheless, cognitive radio (CR) has ability to increase spectrum utilization efficiency and channel capacity for industrial wireless communications (IWC) through opportunistic/dynamic spectrum access (DSA) technique. In this review article, we examine how DSA can benefit IWC through exploitation of new perspectives of white space definitions in the licensed bands as well as unlicensed bands. While discussing the potential of DSA for IWC, we have considered the unique characteristics of IWC as well as technical challenges and issues imposed by industrial‐WSN. Accordingly, we have suggested and proffered appropriate CR‐based solutions in mitigating some of the challenges where necessary.

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Spectrum sensing performance with adaptive threshold in MIMO cognitive radio

Cited by 2 publications

References 5 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

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

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