The strip spectral correlation algorithm for spectral correlation estimation of digitally modulated signals

The concept of wireless distributed computing (WDC), proposed recently, is used to distribute and allocate computational tasks wirelessly. Despite various benefits of WDC, such as distributing the workload efficiently among cooperating nodes, WDC concept is facing enormous challenges. Proposing an efficient task allocation algorithm is one of the key challenges in WDC network. The work reported here proposes a novel task allocation algorithm called as adaptive load balancing (ALB). The ALB algorithm nominates the cooperating nodes in WDC network adaptively based on the channel conditions among the cooperating nodes. Then, it balances the workload amongst the cooperating nodes based on the available energy in each node. Herein, the validity of the proposed novel ALB algorithm is proved first. Then, ALB algorithm is applied to an application in cognitive radio network (CRN). Furthermore, the channel impact on the distributed tasks by ALB algorithm, in WDC-CRN, is investigated and benchmarked. Accordingly, the probability of detection results in case of applying the novel ALB algorithm is found to be enhanced.

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“…This high level of complexity is discussed in [6], [11]- [13]. Furthermore, FFT time smoothing algorithms are explained in detail in [14]- [16].…”

Section: System Modelmentioning

confidence: 99%

Adaptive load balancing algorithm for wireless distributed computing networks

Alfaqawi

Habaebi

Siddiqi

et al. 2016

2016 International Conference on Intelligent Systems Engineering (ICISE)

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“…In comparison to classical cyclostationary analysis, computationally efficient cyclostationary detection algorithms have been defined . In this paper, we also apply the strip spectral correlation algorithm (SSCA) to the detection of GSM Thuraya signal. The paper studies and makes a comparison among the three spectrum sensing techniques: energy sensing, basic cyclostationarity approach and SSCA.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, this paper uses different techniques of cyclostationary sensing and compares the results to assess the technique that is more suited from a performance (i.e., computational effort) and precision point of view (i.e., receiver operating characteristics, ROC). This paper is only based on experimental work, and there are no additional theoretical contributions in comparison to what were presented in the cited references .…”

Section: Introductionmentioning

confidence: 99%

Experimental detection of mobile satellite transmissions with cyclostationary features

Dimc

Baldini

Kandeepan

2014

Satell Commun Network

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SUMMARYOne of the important functions of cognitive radio (CR) technology is spectrum sensing. The implementation of an efficient spectrum sensing function can be quite challenging because of various factors such as multi-path fading, low signal-to-noise ratio of the radio communication services to be detected and the requirement to detect and analyze the signal in a short time. As a consequence, it is important to quantitatively assess the performance of spectrum sensing techniques in various scenarios. This paper investigates different digital signal processing techniques for spectrum sensing in the context of mobile satellite transmissions: power sensing, cyclostationary sensing, efficient cyclostationary sensing based on FFT accumulation method and strip spectral correlation algorithm. This paper presents experimental results on the cyclostationary properties of GSM Thuraya mobile satellite communications in various conditions both for the uplink and downlink channels. The receiver operating characteristics are computed, and the results are presented for different algorithms and different positions of the satellite terminals. The experimental results show that the cyclostationary-feature-based detection can be robust compared to energy-based technique for low signal-to-noise ratio levels.

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