Incentive pricing mechanism for hybrid access in femtocell networks

Qi, Yanjia; Wang, Hongyu

doi:10.1109/lcomm.2017.2651064

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…The FAP charges MBS price for offloading its data traffic. In [5], a two-stage Stackelberg game is formulated for determining the optimal proportion of shared resources for FO (femtocell operator) and the optimal pricing factor for WSP (wireless service provider) in traffic offloading transaction.…”

Section: Stackelberg Gamementioning

confidence: 99%

“…Table 5 provides the strategies and pay-offs of the game models when the players are FO (femtocell operator) and WSP. This table illustrates the utilities for the cases, when the WSP leases the spectrum to FO [18] and when WSP and FO operate on the split spectrum [5,19]. In [23], traffic offloading for dual mode FAP is considered.…”

Section: Stackelberg Gamementioning

confidence: 99%

“…Stackelberg equilibrium [5] A bonus is introduced to incentivize AP to meet the QoS demands of offloaded user.…”

Section: Stackelberg Gamementioning

confidence: 99%

See 2 more Smart Citations

A Review on Game-Theoretic Incentive Mechanisms for Mobile Data Offloading in Heterogeneous Networks

Noreen

Saxena

2017

IETE Technical Review

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Mobile data offloading through complementary network is an efficient approach to mitigate network congestion and enhance user's Quality of Service (QoS). Data offloading techniques require the investigation of economic benefits for service providers, conflicts resulting from the interplay of different agents, and proper cooperation of the entities involved in the process. Game theory uses mathematical models to understand the interactions among multiagents. It can be utilized to analyse individual or group behaviour of entities for data offloading. Game theory also models the selfish behaviour of nodes and accordingly is useful in designing the reward/punishment mechanisms for the players involved in data offloading game. In this survey, we present an exhaustive review of game models developed to motivate small cell operators, for providing hybrid access in the heterogeneous networks. Specifically, this review aims to cover network-initiated data offloading approaches, in which the cellular operator controls the offloading procedure.

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Section: Stackelberg Gamementioning

confidence: 99%

Section: Stackelberg Gamementioning

confidence: 99%

See 1 more Smart Citation

A Review on Game-Theoretic Incentive Mechanisms for Mobile Data Offloading in Heterogeneous Networks

Noreen

Saxena

2017

IETE Technical Review

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“…Considering the utility and elasticity of customers, an incentive-based DR model was built in [10], and the optimal incentive price was obtained by solving the model. A novel incentive pricing mechanism was proposed in [11], and the optimal pricing factor was 1.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Enabled Demand Response Scheme with Individualized Incentive Pricing Mode

Guo

Wang

2020

Energies

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Demand response (DR) can offer a wide range of advantages for electrical systems by facilitating the interaction and balance between supply and demand. However, DR always requires a central agent, giving rise to issues of security and trust. Besides this, differences in user response cost characteristics are not taken into consideration during incentive pricing, which would affect the equal participation of users in DR and increase the costs borne by the electricity retail company. In this paper, a blockchain-enabled DR scheme with an individualized incentive pricing mode is proposed. First, a blockchain-enabled DR framework is proposed to promote the secure implementation of DR. Next, a dual-incentive mechanism is designed to successfully implement the blockchain to DR, which consists of a profit-based and a contribution-based model. An individualized incentive pricing mode is adopted in the profit-based model to decrease the imbalance in response frequency of users and reduce the costs borne by the electricity retail company. Then, the Stackelberg game model is constructed and Differential Evolution (DE) is used to produce equilibrium optimal individualized incentive prices. Finally, case studies are conducted. The results demonstrate that the proposed scheme can reduce the cost borne by the electricity retail company and decrease the imbalance among users in response frequency.

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Auction-Based Spectrum Leasing for Hybrid Access in Macro-Femto Network with Location Sensing

Xia

2019

2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference On

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Incentive pricing mechanism for hybrid access in femtocell networks

Cited by 6 publications

References 13 publications

A Review on Game-Theoretic Incentive Mechanisms for Mobile Data Offloading in Heterogeneous Networks

A Review on Game-Theoretic Incentive Mechanisms for Mobile Data Offloading in Heterogeneous Networks

Blockchain-Enabled Demand Response Scheme with Individualized Incentive Pricing Mode

Auction-Based Spectrum Leasing for Hybrid Access in Macro-Femto Network with Location Sensing

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