Development of a measurement system for spectrum awareness

2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

Lehtomäki

et al. 2017

Self Cite

Abstract-Two-layer smart spectrum access (SSA) consists of spectrum sharing based on dynamic spectrum access (DSA: first layer) and spectrum awareness system (SAS: second layer). A main role of SAS is providing useful statistical information in terms of spectrum usage by long term, wide-band and widearea measurements. In this paper, we focus on signal area (SA) estimation which is a core signal processing in SAS to understand the spectrum usage. Specifically, SA estimation is used as post processing for energy detector outputs. It has been shown that Simple-SA (S-SA) estimation can enhance the spectrum usage measurement performance, but it inherently increases false alarms. For this issue, efficient false alarm cancellation technique, L-shaped false alarm cancellation (L-FC), is proposed in this paper. Numerical evaluations show that the proposed method can achieve proper detection performance while the computational cost is small compared to other methods.

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Study on False Alarm Cancellation for Spectrum Usage Measurements

Mizuchi

2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

Lehtomäki

et al. 2017

Self Cite

“…Not only to resolve the issue of spectrum sensing but also to provide other benefits to DSA, advanced DSA, known as smart spectrum access (SSA), has been considered [4]- [6]. SSA is kind of DSA and SSA exploits useful prior information, such as statistical information of spectrum utilization by PUs (DC: duty cycle), to achieve efficient spectrum sharing smartly.…”

Section: Introductionmentioning

confidence: 99%

Welch FFT Segment Size Selection Method for FFT Based Wide Band Spectrum Measurement

Iwata

Lehtomäki

et al. 2018

IEICE Trans. Commun.

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We introduce a Welch FFT segment size selection method for FFT-based wide band spectrum measurement in the context of smart spectrum access (SSA), in which statistical spectrum usage information of primary users (PUs), such as duty cycle (DC), will be exploited by secondary users (SUs). Energy detectors (EDs) based on Welch FFT can detect the presence of PU signals in a broadband environment efficiently, and DC can be estimated properly if a Welch FFT segment size is set suitably. There is a trade-off between detection performance and frequency resolution in terms of the Welch FFT segment size. The optimum segment size depends on signal-to-noise ratio (SNR) which makes practical and optimum segment size setting difficult. For this issue, we previously proposed a segment size selection method employing a relationship between noise floor (NF) estimation output and the segment size without SNR information. It can achieve accurate spectrum awareness at the expense of relatively high computational complexity since it employs exhaustive search to select a proper segment size. In this paper, we propose a segment size selection method that offers reasonable spectrum awareness performance with low computational complexity since limited search is used. Numerical evaluations show that the proposed method can match the spectrum awareness performance of the conventional method with 70% lower complexity or less.

“…5. In smart spectrum management, an appropriate database based on exhaustive spectrum measurements must be prepared [14]. Specifically, the database must provide site-specific information for each user in the local area.…”

Section: Concept Of the Smart Spectrummentioning

confidence: 99%

“…The first point is that a user can obtain the necessary spectrum resources and achieve appropriate radio and network access based on software reconfigurations according to user demand. The former (spectrum resources) corresponds to flexible spectrum usage, including dynamic spectrum access and sharing and licensed shared access, and it is related to cognitive radio technologies [3], [14], [15]. The latter (appropriate radio and network access) is related to reconfigurability and extendability in software defined radio [16] and software defined network technologies [17], respectively.…”

Section: Concept Of the Smart Spectrummentioning

confidence: 99%

Smart Spectrum for Future Wireless World

Fujii

2017

IEICE Trans. Commun.

Self Cite

SUMMARY As the role of wireless communication is becoming more important for realizing a future connected society for not only humans but also things, spectrum scarcity is becoming severe, because of the huge numbers of mobile terminals and many types of applications in use. In order to realize sustainable wireless connection under limited spectrum resources in a future wireless world, a new dynamic spectrum management scheme should be developed that considers the surrounding radio environment and user preferences. In this paper, we discuss a new spectrum utilization framework for a future wireless world called the "smart spectrum." There are four main issues related to realizing the smart spectrum. First, in order to recognize the spectrum environment accurately, spectrum measurement is an important technology. Second, spectrum modeling for estimating the spectrum usage and the spectrum environment by using measurement results is required for designing wireless parameters for dynamic spectrum use in a shared spectrum environment. Third, in order to effectively gather the measurement results and provide the spectrum information to users, a measurement-based spectrum database can be used. Finally, smart spectrum management that operates in combination with a spectrum database is required for realizing efficient and organized dynamic spectrum utilization. In this paper, we discuss the concept of the smart spectrum, fundamental research studies of the smart spectrum, and the direction of development of the smart spectrum for targeting the future wireless world. key words: smart spectrum, spectrum measurement, spectrum usage modeling, spectrum database, spectrum management