Implementation of combined geolocation database and infrastructure sensing in TV bands using different spectrum devices

Fanan, A.; Riley, N.G.; Mehdawi, M.; Alfahad, O..

doi:10.1109/telfor.2017.8249311

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…Lysko, in [13], highlighted the importance of a hybrid system, by evaluating the performance of their country's database, to correctly identify available TV channels. The available channels, predicted by their GDB, falsely labeled one channel as available, while a similar work in [14], revealed a greater number of falsely identified available channels. This raises the question of how spectral availability is decided.…”

Section: Hybrid Spectrum Managementmentioning

confidence: 93%

An Interference Management System for a Shared Spectrum Access Network

Atimati

Crawford

Stewart

et al. 2022

2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)

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Internet access, in developing and underdeveloped countries, remains a huge challenge despite advancements in technology. Shared resources, amongst telecommunication systems, offer an affordability context to this problem. A shared spectrum interference management system is implemented by designing a geolocation database, for a television white space network, for a location in Nigeria. This is achieved using the Dynamic Spectrum Alliance framework (a rarely used methodology) and robust terrain-based propagation models. The designed spectrum coexistence manager (geolocation database) was created, presented, and evaluated, based on its channel availability, predictions, and ability to protect very weak TV signals. The result showed a 15% channel utilization of Analogue and Digital Terrestrial Television channels within the study area. Finally, key components of the framework, that can be adopted for further studies, were identified.

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Section: Hybrid Spectrum Managementmentioning

confidence: 93%

An Interference Management System for a Shared Spectrum Access Network

Atimati

Crawford

Stewart

et al. 2022

2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)

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“…Theoretically, CR could be able to detect the presence of spectrum hole through spectrum sensing thus making it possible for an unlicensed user to utilize the radio channel [11]. However, due to more work being needed on CR's capability and accuracy most regulators (OFCOM, FCC, ECC etc.)…”

Section: Rem Overviewmentioning

confidence: 99%

On the Construction of Radio Environment Map for Cognitive Radio Applications: An Overview

Najashi¹

2019

International Journal of Advanced Research in Computer and Comm

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Demand for data services from a few Kilobytes to several Gigabytes over the last 25 years has led to the development of several mobile and wireless standards. Unfortunately, the spectrum required for these services to operate is becoming scarce not because of shortage but because of under-utilization as several spectrum occupancy measurements have shown over the years. The solution then has to be a dynamic spectrum access approach where licensed and unlicensed users could share the spectrum without causing interference to the licensed user. This concept known as Cognitive Radio (CR) was envisioned by Mitola promises to solve this problem. Radio Environment Map (REM) is one of the central tools at the heart of CR as it constructs a comprehensive map of the CR network storing information on physical network, policies, regulation, licensed user profile and activity. In this research, a general overview on REM construction is presented. From the architecture to the techniques applied in constructing REMs. The performance of propagation models employed in this process is also presented. Finally the quality metrics used to determine the accuracy of the constructed REMs is given

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“…Secondly, for achieving higher accuracy and reliability, cooperative spectrum sensing (CSS) algorithms have been extensively investigated [15][16][17][18], where space diversity in the CRN is exploited and different hard decision fusion (HDF) schemes and soft data fusion algorithms are proposed under different criteria [15]. Thirdly, different from the single/multi-user-based signal detection schemes, some hybrid spectrum sensing strategies that combine signal processing techniques and geolocation databases have been proposed [19][20][21]. The geolocation database stores in advance some information about the PUs, such as the PU transmitter's (PUT's) power, geographical position, statistical behavior, and so forth.…”

Section: Introductionmentioning

confidence: 99%

Geo-Location Information Aided Spectrum Sensing in Cellular Cognitive Radio Networks

Chen

Shen

Wang

et al. 2019

Sensors

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Apart from the received signal energy, auxiliary information plays an important role in remarkably ameliorating conventional spectrum sensing. In this paper, a novel spectrum sensing scheme aided by geolocation information is proposed. In the cellular cognitive radio network (CCRN), secondary user equipments (SUEs) first acquire their wireless fingerprints via either received signal strength (RSS) or time of arrival (TOA) estimation over the reference signals received from their surrounding base-stations (BSs) and then pinpoint their geographical locations through a wireless fingerprint (WFP) matching process in the wireless fingerprint database (WFPD). Driven by the WFPD, the SUEs can easily ascertain for themselves the white licensed frequency band (LFB) for opportunistic access. In view of the fact that the locations of the primary user (PU) transmitters in the CCRN are either readily known or practically unavailable, the SUEs can either search the WFPD directly or rely on the support vector machine (SVM) algorithm to determine the availability of the LFB. Additionally, in order to alleviate the deficiency of single SUE-based sensing, a joint prediction mechanism is proposed on the basis of cooperation of multiple SUEs that are geographically nearby. Simulations verify that the proposed scheme achieves higher detection probability and demands less energy consumption than the conventional spectrum sensing algorithms.

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Implementation of combined geolocation database and infrastructure sensing in TV bands using different spectrum devices

Cited by 4 publications

References 2 publications

An Interference Management System for a Shared Spectrum Access Network

An Interference Management System for a Shared Spectrum Access Network

On the Construction of Radio Environment Map for Cognitive Radio Applications: An Overview

Geo-Location Information Aided Spectrum Sensing in Cellular Cognitive Radio Networks

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