Spectrum Sharing Based on Truthful Auction in Licensed Shared Access Systems

Wang, Huiyang; Dutkiewicz, Eryk; Fang, Gengfa; Mueck, Markus

doi:10.1109/vtcfall.2015.7391152

Cited by 16 publications

(21 citation statements)

References 9 publications

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“…The work in [11] proposed a spectrum allocation algorithm which recommends both a fair allocation policy on one hand and a penalty policy for violators of spectrum sharing rules. In [12], the idea of an auction-based LSA spectrum allocation was proposed. The proposed scheme's main aim was revenue maximization in order to increase incumbent(s) motivation to participate in LSA while also ensuring higher satisfaction for the licensee(s).…”

Section: A Related Workmentioning

confidence: 99%

On the Spectrum and Energy Efficiency in Dynamic Licensed Shared Access Systems: A Multiobjective Optimization Approach

Onidare

Navaie

2019

IEEE Access

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In licensed shared access (LSA) systems, the protection of the incumbent in the shared spectrum may degrade the spectrum and energy efficiency of the licensee. In this paper, we examine the optimization of these two performance metrics in a LSA vertical sharing scenario between an airport incumbent, and a mobile network operator licensee. Considering a restriction zone of a pre-defined radius, we derive the probability of the incumbent's interference threshold and then formulate a power allocation scheme as a multi-objective optimization of both energy and spectrum efficiency. We then adopt the weighted sum method to convert this multi-objective optimization into a single objective optimization and convert that into a quasi concave optimization problem. The optimum power allocation is then obtained using fractional programming. We further investigate the impact of various critical operational parameters in conjunction with the two performance metrics. Simulation results indicate a significantly improved energy efficiency in the licensee network as well as the spectrum efficiency comparable to even when the LSA spectrum utilization is unrestricted by the incumbent's maximum interference threshold. Furthermore, we show that with careful selection of the licensee eNodeB coverage radius, transmit power, and users number per eNodeB coverage area, one can engineer the best possible trade-off between the spectrum and energy efficiency.

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Section: A Related Workmentioning

confidence: 99%

On the Spectrum and Energy Efficiency in Dynamic Licensed Shared Access Systems: A Multiobjective Optimization Approach

Onidare

Navaie

2019

IEEE Access

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“…In [14] the authors present a mechanism to allocate incumbents idle spectrum to licensee access points from different operators, combining independent set selection by bidding and a group bid. The target of [14] is a policy aiming for revenue and market regularity, whereas in the algorithm we propose, we aim for fairness in spectrum allocation among the competing MNOs from a purely technical standpoint.…”

Section: A Fairness-driven Resource Allocation Algorithmmentioning

confidence: 99%

“…The target of [14] is a policy aiming for revenue and market regularity, whereas in the algorithm we propose, we aim for fairness in spectrum allocation among the competing MNOs from a purely technical standpoint.…”

Section: A Fairness-driven Resource Allocation Algorithmmentioning

confidence: 99%

Dynamic Licensed Shared Access - A New Architecture and Spectrum Allocation Techniques

Frascolla

Morgado

Gomes

et al. 2016

2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)

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-This paper proposes a new system architecture for Licensed Shared Access (LSA) wireless networks, as well as novel band management techniques for fair and ranking-based spectrum allocation. The proposed architecture builds upon recently standardized and regulatory-accepted LSA systems and stems from the work done in the EU-funded project ADEL. Two new resource allocation algorithms are introduced and their behavior is validated via system-level simulations.

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“…The 2.3 − 2.4 GHz is considered as a very valuable (and therefore scarce) resource thanks to its ability to propagate far and offer high capacity. Thus, auctions [7] are more adequate to allocate spectrum to MNOs in this context.…”

Section: Introductionmentioning

confidence: 99%

Estimation of spectrum valuation for 5G dynamic frequency allocation and auctions

Chouayakh

Bechler

Amigo

et al. 2021

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

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The high data rates and diversity of services in 5G require a flexible and efficient use of all the available frequencies. In 5G networks, new approaches of dynamic spectrum sharing will be deployed, allowing Mobile Network Operators (MNOs) to access other incumbents' spectrum, after obtaining a license from the regulator. The attribution of licenses will be made via auction mechanisms valid for given geographical areas and durations. To determine how to bid, each MNO has to estimate his valuation for spectrum i.e., how much he is willing to pay for spectrum. In this paper, we propose a model for estimating that valuation. The model is based on Markov chain modeling of user behavior, to compute the MNO satisfaction as a function of the obtained spectrum. We then illustrate our method by applying it to real operator data.

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Spectrum Sharing Based on Truthful Auction in Licensed Shared Access Systems

Cited by 16 publications

References 9 publications

On the Spectrum and Energy Efficiency in Dynamic Licensed Shared Access Systems: A Multiobjective Optimization Approach

On the Spectrum and Energy Efficiency in Dynamic Licensed Shared Access Systems: A Multiobjective Optimization Approach

Dynamic Licensed Shared Access - A New Architecture and Spectrum Allocation Techniques

Estimation of spectrum valuation for 5G dynamic frequency allocation and auctions

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