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Quantitative spectrum occupancy evaluation in China: based on a large scale concurrent spectrum measurement

The Journal of China Universities of Posts and Telecommunications 2012年第3期19卷 122-128页

作者： YIN Liang YIN Si-xing WANG Shuai ZHANG Er-qing HONG Wei-jun LI Shu-fang School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China

Due to the usable frequency becomes more and more crowed, dynamic spectrum access （DSA） is a new hope to solve this problem. However, DSA in China requires a quantitative analysis of the current spectrum utilization in frequency, temporal and spatial domains. In order to free the precious spectrum, spectrum regulation organizations must have a clear, detailed, up-to-date understanding of where, how and by whom spectrum is currently being used--such data is essential to sound policy decisions in the context of cognitive radio （CR）. In this paper, a concurrent spectrum occupancy measurement in south China was conducted to evaluate the practical spectrum occupancy with a digital wideband receiver covering from 20 MHz to 3 GHz. We also propose systemic spectrum measurement methodology, matrix format data storage, duty cycle （DC） evaluation metric and data mining process which can be a guideline for other researchers when they conduct the similar experiments. Quantitative analysis and characterization of the 4 different measurement locations are evaluated to promote the popularization of CR application in China. And a uniform Beta distribution channel occupancy model is also validated using real-scene measurement data. The experimental results demonstrate that there is a significant scope for license-exemption use of the released spectrum using CR technology.

关键词： cognitive radio spectrum measurement spectrum occupancy duty cycle Beta distribution

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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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