Cognitive Radio Trial Environment: First Live Authorized Shared Access-Based Spectrum-Sharing Demonstration

Matinmikko, Marja; Palola, Marko; Saarnisaari, H.; Heikkilä, Matti; Prokkola, Jarmo; Kippola, Tero; Hänninen, Tuomo; Jokinen, Markku; Yrjölä, Seppo

doi:10.1109/mvt.2013.2269033

Cited by 73 publications

(34 citation statements)

References 3 publications

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“…Figure 3 shows the topology diagram of the AAS field trial environment. This environment was used to present the world's first live trials of Licensed Shared Access (LSA)/Authorized Shared Access (ASA) [15].…”

Section: Field Trial Environmentmentioning

confidence: 99%

Active antenna system for cognitive network enhancement

Heikkilä

Kippola

Jamsa

et al. 2014

2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)

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Cognitive Infocommunications (CogInfoCom) studies the connections between infocommunications and cognitive experiences. This paper presents a practical performance evaluation of an active antenna system (AAS) based on tests performed in a field trial environment with a cellular high-speed packet access (HSPA) network. Cellular networks face the challenges of constantly growing data traffic and demands to reduce network costs, which call for new approaches for optimizing network performance. The demands in different parts of the cellular network change because of the spatially and temporarily varying usage characteristics. An AAS can offer a solution to these demands with flexible beamforming to respond to the changing situations in the network. This study shows that the AAS can gain improvements in system performance in terms of achievable throughputs. The spatial cell isolation needs to be taken care of in order to maintain optimal system operation by avoiding inter-cell interference. Since the changing radio network requires continuous optimization, an AAS needs intelligent control for full advantage. This can be accomplished with cognitive decision making by exploiting Self-Organizing Networks (SON) features. Later, network performance optimization with an AAS could use "cognitive engines" to intelligently add sectors where capacity is needed and switch them off when the capacity demand decreases. Cognition combined with an AAS could optimize the network and adjust the AAS parameters according to different needs in the changing environment.

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Section: Field Trial Environmentmentioning

confidence: 99%

Active antenna system for cognitive network enhancement

Heikkilä

Kippola

Jamsa

et al. 2014

2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)

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“…Licensed shared access (LSA)/authorized shared access (ASA): In addition to license-exempt access to spectrum considered in several spectrum sharing scenarios, such as TVWS, it has been recently proposed that the spectrum could be shared on a licensed basis, under an LSA approach [17,31]. ASA is a specific case of LSA, referring to sharing between an incumbent user (other than a mobile communication system) and a mobile communication system that is then a licensed SU of the spectrum.…”

Section: Different Approachesmentioning

confidence: 99%

“…In contrast to studies done in ITU-R M.2109 [49] and ITU-R S.2199 [50], we assume that only small-cell and D2D operations are allowed in the shared C band, whereas macro BS sends the data in a different frequency band such as 2.3 GHz band that is currently considered for LSA operation [31]. Then, the effective isotropic radiated power (EIRP) of a secondary terrestrial system is restricted to 10-20 dBm.…”

Section: Primary Satellite System With a Secondary Terrestrial Systemmentioning

confidence: 99%

Use of databases for dynamic spectrum management in cognitive satellite systems

Höyhtyä

Ylitalo

Chen

et al. 2015

Cooperative and Cognitive Satellite Systems

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“…For example, the Federal Communications Commission (FCC) has initiatives regarding shared spectrum in the TV white space [19] and the 3.5 GHz band [20]. Moreover, a spectrum sharing demonstration utilizing an industry-driven Authorized Shared Access (ASA) concept is introduced in [21]. The database scalability results presented in this study can be applied to the ASA concept [22], where an ASA repository, indicating the areas allowing spectrum sharing, is based on a geolocation database.…”

Section: B Use Case: Dynamic Spectrum Sharing and Accessmentioning

confidence: 99%

Scaling network information services to support HetNets and dynamic spectrum access

Piri

Schulzrinne

2014

J. Commun. Netw.

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Wireless network information services allow end systems to discover heterogeneous networks and spectrum available for secondary use at or near their current location, helping them to cope with increasing traffic and finite spectrum resources. We propose a unified architecture that allows end systems to find nearby base stations that are using either licensed, shared or unlicensed spectrum across multiple network operators. Our study evaluates the performance and scalability of spatial databases storing base station coverage area geometries. The measurement results indicate that the current spatial databases perform well even when the number of coverage areas is very large. A single logical spatial database would likely be able to satisfy the query load for a large national cellular network. We also observe that coarse geographic divisions can significantly improve query performance.

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Cognitive Radio Trial Environment: First Live Authorized Shared Access-Based Spectrum-Sharing Demonstration

Cited by 73 publications

References 3 publications

Active antenna system for cognitive network enhancement

Active antenna system for cognitive network enhancement

Use of databases for dynamic spectrum management in cognitive satellite systems

Scaling network information services to support HetNets and dynamic spectrum access

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