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Wireless distributed computing for cyclostationary feature detection

Digital Communications and Networks 2016年第1期2卷 46-55页

作者： Mohammed I.M. Alfaqawi Jalel Chebil Mohamed Hadi Habaebi dinesh datla Department of Electrical and Computer Engineering International Islamic University Malaysia (IIUM) Malaysia. Innovation of Communicant and Cooperative Mobiles Laboratory INNOV'COM Department of Technology and Engineering in Transport ISTLS University of Sousse Sousse Tunisia Electrical and Computer Engineering Department IIUM-Malaysia Malaysia Harris Corporation Lynchburg VA USA

Recently, wireless distributed computing (WDC) concept has emerged promising manifolds improvements to current wireless technologies. Despite the various expected benefits of this concept, significant drawbacks were addressed in the open literature. One of WDC key challenges is the impact of wireless channel quality on the load of distributed computations. Therefore, this research investigates the wireless channel impact on WDC performance when the latter is applied to spectrum sensing in cognitive radio (CR) technology. However, a trade-off is found between accuracy and computational complexity in spectrum sensing approaches. Increasing these approaches accuracy is accompanied by an increase in computational complexity. This results in greater power consumption and processing time. A novel WDC scheme for cyclostationary feature detection spectrum sensing approach is proposed in this paper and thoroughly investigated. The benefits of the proposed scheme are firstly presented. Then, the impact of the wireless channel of the proposed scheme is addressed considering two scenarios. In the first scenario, workload matrices are distributed over the wireless channel. Then, a fusion center combines these matrices in order to make a decision. Meanwhile, in the second scenario, local decisions are made by CRs, then, only a binary flag is sent to the fusion center.

关键词： Cognitive radio Spectrum sensing Cyclostationary feature detection FFT time smoothing algorithms Wireless distributed computing

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