A Developed Sensing Approach in Cooperative Cognitive Radio Networks

Mohammed, Doaa A.; Sadkhan, Sattar B.

doi:10.1109/it-ela52201.2021.9773579

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…The cognitive ECG signal is modulated and sent through cognitive radio technology which senses the available frequency through spectrum sensing technique and transmits the information by digital modulation scheme. Cognitive radio technology is an intelligent form of communication which transmits and receives data in next generation networks, can also be used in massive MIMO systems [21], machine learning methods [22,23] and can also be fruitful for medical signal transmission and reception to cater medical signal processing and health care data [24].…”

Section: Cognitive Ecg Signal Results and Discussionmentioning

confidence: 99%

Medical Signal Processing via Digital Filter and Transmission Reception Using Cognitive Radio Technology

Premkumar¹,

Sathiyapriya²,

Arun³

et al. 2022

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This research paper provides a viable solution for processing noise affected Electrocardiogram (ECG) signal via digital filter and transmission of ECG signal and reception via cognitive radio (CR) technology. Health assessment signals such as ECG signal, Electroencephalogram (EEG) signal, Electromyogram (EMG) signal are vital for diagnosis and rehabilitation of human welfare among which ECG attains prime importance due to its information on heart functioning. However, electrocardiogram signals are prone to addition of noise such as power line noise 50 Hz mainly due to improper shielding which can lead to wrong interpretation, incorrect diagnosis and at times will eventually lead to loss of human life. On combining signal processing into medical applications misconceptions can be eliminated and diagnosis can be done effectively through a designed digital filter. Effect of noise can be cancelled in an ECG signal and by using cognitive radio technology ECG information can be transmitted to a medical physician mobile terminal for remedial measures relating to medical treatment. Simulation results are shown in matrix laboratory (MATLAB) for cancelling noise in an ECG signal having noise using a digital filter which is designed represented by its transfer function. Also, ECG signal is transmitted and received in a CR system where the metric of probability of error is obtained which can be useful for signal processing fraternity.

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Section: Cognitive Ecg Signal Results and Discussionmentioning

confidence: 99%

Medical Signal Processing via Digital Filter and Transmission Reception Using Cognitive Radio Technology

Premkumar¹,

Sathiyapriya²,

Arun³

et al. 2022

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“…Cyclostationary features are caused by the periodicity in the signal and are not affected by noise uncertainty like energy detection (ED). Last studies results [16] [17] shown that the detection performance of Cyclostationary spectrum sensing is excellent than energy spectrum sensing. Cooperative spectrum sensing [18]- [23] is proposed to improve the reliability spectrum sensing, increase the detection probability to better protect a primary user, and reduce false alarm probability to utilize the idle spectrum more efficiently.…”

Section: Introductionmentioning

confidence: 99%

A Cooperative Cognitive Radio Spectrum Sensing Based on Correlation Sum Method with Linear Equalization

Gemeay¹,

Lebda²

2023

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For moving forward toward the next generations of information technology and wireless communication, it is becoming necessary to find new resources of spectrum to fulfill the requirements of next generations from higher data rates and more capacity. Increasing efficiency of the spectrum usage is an urgent need as an intrinsic result of the rapidly increasing number of wireless users and the conversion of voice-oriented applications to multimedia applications. Spectrum sensing techniques in cognitive radio technology work upon an optimal usage of the available spectrum determined by the Federal Communication Commission (FCC). In this paper, the performance of a cooperative cognitive radio spectrum sensing detection based on the correlation sum method by utilizing the multiuser multiple input multiple output (MU_MIMO) technique over fading and Additive White Gaussian Noise (AWGN) channel is analyzed. Equalization is used at the receiver to compensate the effect of fading channels and improve the reliability of spectrum sensing. The performance is compared with the performance of Energy detection technique. The simulation results show that the detection performance of cooperative correlation sum method is more efficient than that obtained for the cooperative Energy detection technique.

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Hybrid Spectrum Sensing: Status, Open Problem And Future Trends

Kareem

Sadkhan

2022

2022 Muthanna International Conference on Engineering Science and Technology (MICEST)

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A Developed Sensing Approach in Cooperative Cognitive Radio Networks

Cited by 3 publications

References 22 publications

Medical Signal Processing via Digital Filter and Transmission Reception Using Cognitive Radio Technology

Medical Signal Processing via Digital Filter and Transmission Reception Using Cognitive Radio Technology

A Cooperative Cognitive Radio Spectrum Sensing Based on Correlation Sum Method with Linear Equalization

Hybrid Spectrum Sensing: Status, Open Problem And Future Trends

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