Measurements and Analysis of Spectrum Occupancy in the 2.3-2.4 GHz band in Finland and Chicago

Höyhtyä, Marko; Matinmikko, Marja; Chen, Xianfu; Hallio, Juhani; Auranen, Jani; Ekman, Reijo; Röning, Juha; Engelberg, J.; Kalliovaara, Juha; Taher, Tanim; Riaz, Ali; Roberson, Dennis

doi:10.4108/icst.crowncom.2014.255077

Cited by 17 publications

(11 citation statements)

References 3 publications

(5 reference statements)

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“…The low transmission power level results in the utilization of the spectrum being deeply dependent on the location of the measurement. Hoyhtya et al [15] carried out a spectrum occupancy measurement in the 2.3-2.4 GHz band at Turku, Finland and compared this to the situation in Chicago, USA. The Finland measurement was conducted at a single point location located at Turku University of Applied Sciences Sepänkatu campus, on the roof of a four storey building.…”

Section: Related Workmentioning

confidence: 99%

Spectrum Occupancy Measurements and Analysis in the 2.4-2.7 GHz Band in Urban and Rural Environments

Ayeni¹,

Фарук²,

Bello³

et al. 2016

IJFCC

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Abstract-Continuing proliferation of wireless devices exposes humanity to the reality of the twin challenge posed by finite frequency spectrum and almost infinite demand for the same frequency spectrum, necessitating the need for more ingenious spectrum management techniques. The band 2.4-2.7 GHz was originally created and classified for ISM, 3G, UMTS and WiMAX systems. It has become a frequency band which is generally used by end users due to the fact that it's inexpensive, easy to deploy and enhances frequency re-use. Quite a few measurements have been carried out in countries like France, Germany, India, Romania, UK and USA. This paper presents a study of an outdoor measurement on spectrum occupancy in both rural and urban areas in Kwara State, Nigeria, spanning across the frequency range of 2.4 GHz -2.7 GHz. The results show that the band being investigated is immensely underutilized with upper and lower occupancy values of 22.56% and 0% in urban and rural environments. These results were compared to other measurements conducted globally in this band or closely aligned bands.Index Terms-ISM band, spectrum occupancy, spectrum utilization, UMTS network.

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Section: Related Workmentioning

confidence: 99%

Spectrum Occupancy Measurements and Analysis in the 2.4-2.7 GHz Band in Urban and Rural Environments

Ayeni¹,

Фарук²,

Bello³

et al. 2016

IJFCC

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“…The framework was introduced with the aim of offering promising opportunities for the capacity and bandwidth expansion in cellular systems [137]. The initial target bands of LSA comprise the sub-6GHz such as 2.3-2.4GHz (in Europe), and 3.5GHz (in the US) that are already owned and used by military and also Program Making and Special Events (PMSE), [2], [52], [141]. LSA licensees and incumbents provide different services, originally operate on different bands and are subject to different regulatory constraints.…”

Section: A Overview Of Lsa Frameworkmentioning

confidence: 99%

“…It is estimated that the required capacity demand, in order to accommodate such amounts of traffic load, will be remarkably increased by the growing use of mobile devices , such as smartphones to access diverse sets of broadband services and applications , as well as the development of new features like Machine Type of Communications (MTC) [1], [2], [3]. It is estimated that wide contiguous bandwidth from hundreds of MHz up to a few GHz will be required for the Roya Hosseini T ehrani, Seiamak Vahid, Dionysia T riantafyllopoulou, Haeyoung Lee, and Klaus Moessner are with the Institute for Communication Systems (ICS), University of Surrey, Guildford, GU2 7XH, U.K. E-mail:{R.HosseiniTehrani,S.Vahid, D.Triantafyllopoulou, H.Lee, K.Moessner}@surrey.ac.uk.…”

Section: Introductionmentioning

confidence: 99%

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Tehrani

Vahid

Triantafyllopoulou

et al. 2016

IEEE Commun. Surv. Tutorials

190

119

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The ongoing development of mobile communication networks to support a wide range of superfast broadband services has led to massive capacity demand. This problem is expected to be a significant concern during the deployment of the 5G wireless networks. The demand for additional spectrum to accommodate mobile services supporting higher data rates and having lower latency requirements, as well as the need to provide ubiquitous connectivity with the advent of the Internet of Things (IoT) sector, is likely to considerably exceed the supply, based on the current policy of exclusive spectrum allocation to mobile cellular systems. Hence, the imminent spectrum shortage has introduced a new impetus to identify practical solutions to make the most efficient use of the scarce licensed bands in a shared manner. Recently, the concept of dynamic spectrum sharing has received considerable attention from regulatory bodies and governments globally, as it could potentially open new opportunities for mobile operators to exploit spectrum bands whenever they are underutilised by their owners, subject to service level agreements. Although various sharing paradigms have been proposed and discussed, the impact and performance gains of different schemes can be scenario-specific and vary depending on the nature of the sharing parties, the level of sharing and spectrum access scheme. In this survey, we describe the main concepts of dynamic spectrum sharing, different sharing scenarios, as well as the major challenges associated with sharing licensed bands. Finally, we conclude this survey paper with open research challenges and suggest some future research directions

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“…Researchers, telecommunication companies and regulatory bodies have conducted studies to capture the overall spectrum utilisation within time and space. These studies have given a notable amount of insight on spectrum use as found in the literature [1,2]. Most of these studies have shown that a large amount of allocated spectrum are under-utilised resulting in a waste of valuable spectrum bandwidths, so-called spectrum holes [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Radio Resource Sharing Framework for Cooperative Multioperator Networks With Dynamic Overflow Modeling

Abozariba

Asaduzzaman

Patwary

2017

IEEE Trans. Veh. Technol.

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Due to the exponentially growing wireless applications and services, traffic demand is increasing rapidly. To cope with such growth wireless network operators seek for radio resource cooperation strategies for their users with the highest possible grade of service (GoS). In this paper we propose a set of analytical models for dynamic spectrum access (DSA) to attain intra-network resource sharing agreements and adopt such strategies by sharing radio resources. The proposed models focus on reducing blocking probability for a secondary network to attain wireless services as a trade-off with a marginal increase of blocking probability of a primary network in return of monetary rewards. We derived the global balance equation and an explicit expression of the blocking probability for each resource sharing model. The robustness of the proposed analytical models is evaluated under different scenarios by considering varying traffic intensities, different network sizes and adding reserved resources. The results show that the blocking probabilities can be reduced significantly with the proposed DSA framework in comparison to the existing local spectrum access schemes.

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Measurements and Analysis of Spectrum Occupancy in the 2.3-2.4 GHz band in Finland and Chicago

Cited by 17 publications

References 3 publications

Spectrum Occupancy Measurements and Analysis in the 2.4-2.7 GHz Band in Urban and Rural Environments

Spectrum Occupancy Measurements and Analysis in the 2.4-2.7 GHz Band in Urban and Rural Environments

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Radio Resource Sharing Framework for Cooperative Multioperator Networks With Dynamic Overflow Modeling

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