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Improve the throughput of M-to-1 free-space optical systems by employing uniquely decodable codes

Chinese Optics Letters 2023年第3期21卷 35-40页

作者：李亚添耿天文高世杰 Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China University of Chinese Academy of Sciences Beijing 100049China

This paper utilizes uniquely decodable codes[UDCs]in an M-to-1 free-space optical[FSO]*** from UDCs’nonorthogonal nature,the sum throughput is *** first prove that the uniquely decodable property still holds,even in optical fading *** is further discovered that the receiver can extract each source’s data from superimposed symbols with only one processing *** to theoretical analysis and simulation results,the throughput gain is up to the normalized UDC’s sum rate in high signal-to-noise ratio *** equivalent desktop experiment is also implemented to show the feasibility of the UDC-FSO structure.

关键词： free-space optics throughput enhancement uniquely decodable code

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Adaptive Data-Driven Wideband Compressive Spectrum Sensing for Cognitive Radio Networks

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Journal of Communications and Information Networks 2018年第2期3卷 75-83页

作者： Mohsen Ghadyani Ali Shahzadi Faculty of Electrical and Computer Engineering Semnan UniversitySemnan 35196-45399Iran

This paper presents a novel adaptive wide-band compressed spectrum sensing scheme for cognitive radio(CR)*** to the traditional CSS-based CR scenarios,the proposed approach reconstructs neither the received signal nor its spectrum during the compressed sensing *** the contrary,a precise estimation of wide spectrum support is recovered with a fewer number of compressed ***,the spectrum occupancy is determined directly from the reconstructed support *** carry out this process,a data-driven methodology is utilized to obtain the mini-mum number of necessary samples required for support reconstruction,and a closed-form expression is obtained that optimally estimates the number of desired samples as a function of the sparsity level and number of *** this phase,an adjustable sequential framework is developed where the first step predicts the optimal number of compressed measurements and the second step recovers the sparse support and makes sensing *** analysis and numerical simulations demonstrate the improvement achieved with the proposed algorithm to significantly reduce both sampling costs and average sensing time without any deterioration in detection ***,the remainder of the sensing time can be employed by secondary users for data transmission,thus leading to the enhancement of the total throughput of the CR network.

关键词： saving in the sampling resources sparse support estimation spectrum occupancy throughput enhancement wideband spectrum sensing

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