Spectrum Utilization Study in Support of Dynamic Spectrum Access for Public Safety

Bacchus, Roger; Taher, Tanim; Zdunek, Kenneth; Roberson, Dennis

doi:10.1109/dyspan.2010.5457871

Cited by 31 publications

(15 citation statements)

References 10 publications

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“…In [21], [22], [23] and [24], some specialized systems, such as Wi-Fi, GSM and public safety systems, were studied, where measurements were taken to show that the Wi-Fi band was still relatively vacant while the public safety band was relatively full, at the time of study. A more important conclusion from [23] is that there are seasonal, weekly and daily trends in the spectrum occupancy statistics. Also, reference [24] has used the measurement results to study the design of spectrum sensing schemes for better performances.…”

Section: Draftmentioning

confidence: 99%

A Survey of Measurement-Based Spectrum Occupancy Modeling for Cognitive Radios

Chen

2016

IEEE Commun. Surv. Tutorials

209

105

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Section: Draftmentioning

confidence: 99%

A Survey of Measurement-Based Spectrum Occupancy Modeling for Cognitive Radios

Chen

2016

IEEE Commun. Surv. Tutorials

209

105

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“…As data collection continues, it will be of interest to examine how the occupancy changes over time and to identify any daily, weekly, monthly trends in the radio environment usage. Much of this information is of interest to radio policy planners, wireless service providers, and to researchers in the area of cognitive radio and dynamic spectrum access (example in [BAC10], [TAH11b]). At present, spectrum sharing approaches are receiving a lot of attention from regulators and researchers alike, and a sister publication [MAT14] discusses recent developments in these areas in detail, both in European and American contexts.…”

Section: Discussionmentioning

confidence: 99%

Global Spectrum Observatory Network Setup and Initial Findings

Taher¹,

Attard²,

Riaz³

et al. 2014

Proceedings of the 9th International Conference on Cognitive Radio Oriented Wireless Networks

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This paper describes the current efforts underway to set up matched long-term continuously running spectrum observatories in the US (in Chicago and Blacksburg) and in Turku, Finland. The measurement equipment setup is described, along with the architecture for the networked database used to aggregate, archive and share the spectrum measurement data collected across the multiple international locations. High performance computer infrastructure to permit analysis and as appropriate fusion specific elements of the terabytes of data is described. The measurement parameters and spectrum measurement band plans are listed. Preliminary analysis results are also provided-particularly, simple occupancy statistics in Chicago and in Turku. To demonstrate the utility of the global spectrum observatory network, an interesting example is provided that compares and contrasts the very different signals that occupy the same spectral band, but in different geographic regions.

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“…However it does not consider the effect of detection performance, i.e., the relation between P D and P FA,target on the WSDR. In other words, the largest allowed segment size does not necessarily achieve the optimum solution in (9). We will compare the results of v SUB−OPT and v OPT with numerical evaluation to show the validity of v SUB−OPT .…”

Section: Analysis Of Sub-optimum Segment Sizementioning

confidence: 99%

“…Previous spectrum usage measurements utilize energy detector (ED) to detect spectrum utilization. Conventionally, the ED has been implemented with swept-frequency spectrum analyzers [7]- [9]. The ED based on the fast Fourier transform (FFT) has also been considered for spectrum usage measurements, e.g., [10], [11].…”

Section: Introductionmentioning

confidence: 99%

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Welch FFT Segment Size Selection Method for Spectrum Awareness System

Iwata

Umebayashi

Tiiro

et al. 2016

IEICE Trans. Commun.

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We create a practical method to set the segment size of the Welch FFT for wideband and long-term spectrum usage measurements in the context of hierarchical dynamic spectrum access (DSA). An energy detector (ED) based on the Welch FFT can be used to detect the presence or absence of primary user (PU) signal and to estimate the duty cycle (DC). In signal detection with the Welch FFT, segment size is an important design parameter since it determines both the detection performance and the frequency resolution. Between these two metrics, there is a trade-off relationship which can be controlled by adjusting the segment size. To cope with this trade-off relationship, we define an optimum and, more easy to analyze sub-optimum segment size design criterion. An analysis of the sub-optimum segment size criterion reveals that the resulting segment size depends on the signal-to-noise ratio (SNR) and the DC. Since in practice both SNR and DC are unknown, proper segment setting is difficult. To overcome this problem, we propose an adaptive segment size selection (ASSS) method that uses noise floor estimation outputs. The proposed method does not require any prior knowledge on the SNR or the DC. Simulation results confirm that the proposed ASSS method matches the performance achieved with the optimum design criterion.

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Spectrum Utilization Study in Support of Dynamic Spectrum Access for Public Safety

Cited by 31 publications

References 10 publications

A Survey of Measurement-Based Spectrum Occupancy Modeling for Cognitive Radios

A Survey of Measurement-Based Spectrum Occupancy Modeling for Cognitive Radios

Global Spectrum Observatory Network Setup and Initial Findings

Welch FFT Segment Size Selection Method for Spectrum Awareness System

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