Spectrum and license flexibility for 5G networks

Kliks, Adrian; Holland, Oliver; Basaure, Arturo; Matinmikko, Marja

doi:10.1109/mcom.2015.7158264

Cited by 39 publications

(17 citation statements)

References 5 publications

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“…New licensing models are studied in the research domain to allow more flexibility by taking into account operations in shared bands by finding a balance between license fee and the admitted interference (QoS), see e.g. (Kliks et al, 2015).…”

Section: Spectrum Considerationsmentioning

confidence: 99%

On regulations for 5G: Micro licensing for locally operated networks

Matinmikko

Latva-aho

Ahokangas

et al. 2018

Telecommunications Policy

Self Cite

104

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Future 5G networks aim at providing new high-quality wireless services to meet stringent and case-specific needs of various vertical sectors beyond traditional mobile broadband offerings. 5G is expected to disrupt the mobile communication business ecosystem and open the market to drastically new sharing based network operational models. 5G technical features of network slicing and small cell deployments in higher carrier frequencies will lower the investment barrier for new entrants to deploy local radio access networks and offer vertical specific services in specific areas and allow them lease the remaining required infrastructure on demand from mobile network operators (MNO) or infrastructure vendors. To realize the full vision of 5G to benefit the society and promote competition, innovation and emergence of new services when the 5G end-to-end network spans across different stakeholders administrative domains, the existing regulations governing the mobile communication business ecosystem are being refined. This paper provides a tutorial overview on how 5G innovations impact mobile communications and reviews the regulatory elements relevant to 5G development for locally deployed networks. This paper expands the recent micro licensing model for local spectrum authorization in future 5G systems and provides guidelines for the development of the key micro licensing elements. This local micro licensing model can open the mobile market by allowing different stakeholders to deploy local small cell networks with locally issued spectrum licenses ensuring pre-defined quality guarantees for the vertical sectors' case specific needs.

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Section: Spectrum Considerationsmentioning

confidence: 99%

On regulations for 5G: Micro licensing for locally operated networks

Matinmikko

Latva-aho

Ahokangas

et al. 2018

Telecommunications Policy

Self Cite

104

View full text Add to dashboard Cite

show abstract

“…The main focus of their study is the sharing of resource information. Kliks et al [23] presented a cost model for detecting spectrum data. Auxiliary users purchase the data with the goal that they can opportunistically access idle licensed spectrum efficiently.…”

Section: Related Workmentioning

confidence: 99%

A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment

Battula

Garg

Naha

et al. 2019

Sensors

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Fog computing aims to support applications requiring low latency and high scalability by using resources at the edge level. In general, fog computing comprises several autonomous mobile or static devices that share their idle resources to run different services. The providers of these devices also need to be compensated based on their device usage. In any fog-based resource-allocation problem, both cost and performance need to be considered for generating an efficient resource-allocation plan. Estimating the cost of using fog devices prior to the resource allocation helps to minimize the cost and maximize the performance of the system. In the fog computing domain, recent research works have proposed various resource-allocation algorithms without considering the compensation to resource providers and the cost estimation of the fog resources. Moreover, the existing cost models in similar paradigms such as in the cloud are not suitable for fog environments as the scaling of different autonomous resources with heterogeneity and variety of offerings is much more complicated. To fill this gap, this study first proposes a micro-level compensation cost model and then proposes a new resource-allocation method based on the cost model, which benefits both providers and users. Experimental results show that the proposed algorithm ensures better resource-allocation performance and lowers application processing costs when compared to the existing best-fit algorithm.

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“…Numerous spectrum measurement campaigns all over the world have emphasized the problem of high spectrum scarcity, and have resulted in proposing numerous solutions jointly falling into the cognitive radio category [2], [3]. In this approach, the traditional static frequency band and license assignment among various stakeholders is replaced by the dynamic spectrum and license granting solutions [4]- [7]. However, the practical deployment of pure cognitive radio concept cannot be realized today, due to many technical obstacles, just to mention the unsatisfactory performance of spectrum sensing algorithms as a vivid example.…”

Section: Introductionmentioning

confidence: 99%

Context‐Based Spectrum Sharing in 5G Wireless Networks Based on Radio Environment Maps

Kryszkiewicz

Kliks

Kułacz

et al. 2018

Wireless Communications and Mobile Computing

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Dynamic spectrum sharing can provide many benefits to wireless networks operators. However, its efficiency requires sophisticated control mechanisms. The more context information is used by it, the higher performance of networks is expected. A facility for collecting this information, processing it and controlling base stations managed by various network operators is a so-called Radio Environment Map (REM) subsystem. This paper proposes REM-based schemes for the allocation of base stations power levels in 4G/5G networks, while considering interference generated to a licensed network. It is assumed that both networks have different profiles of served users, e.g., area of their positions and movement, which opens opportunities for spectrum sharing. The proposed schemes have been evaluated by means of extensive system-level simulations and compared with two widely adopted policy-based spectrum sharing reference schemes. Simulation results show that dynamic schemes utilizing rich context information, outperforms static, policy-based spectrum sharing schemes.

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Spectrum and license flexibility for 5G networks

Cited by 39 publications

References 5 publications

On regulations for 5G: Micro licensing for locally operated networks

On regulations for 5G: Micro licensing for locally operated networks

A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment

Context‐Based Spectrum Sharing in 5G Wireless Networks Based on Radio Environment Maps

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