Game-theoretic approach for pricing strategy and network selection in heterogeneous wireless networks

Chen, Q.-B.; Zhou, Wei-Guang; Chai, Rong; Tang, Lun

doi:10.1049/iet-com.2010.0249

Cited by 27 publications

(16 citation statements)

References 10 publications

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“…Thus, for any two SPs to be in a state of competition against each other, they should have non-zero number of users of at least one common user type in (8) to compete over. Using (5), non-zero number of users of any type at both the SPs implies the utility for such type of users is equal at both the SPs. Now consider the case of all the M t SPs competing with each other.…”

Section: User Demand Distributionmentioning

confidence: 99%

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Wireless local area network service providers’ price competition in presence of heterogeneous user demand

2013

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Consider wireless local area network (WLAN) service providers (SPs) operating in an overlapping service area. The SPs compete with each other to attract users. The price charged is utilised by the SPs as a tool to maximise revenue, resulting in a price competition between the WLAN SPs. The users are assumed to be selfish, trying to maximise their individual utility. They have varied sensitivity towards quality of service experienced and the price charged. In such a scenario, the user demand distribution is the one that achieves Wardrop equilibrium. Approximate analytical expressions are obtained for the best response of SPs to each other's price. Existence of a Nash equilibrium (NE) between the competing SPs is proved and the price vector at which the NE occurs is obtained. It is found that, while in one extreme monopoly leads to very high revenue for WLAN SPs with minimal consumer surplus, in the other extreme unregulated duopoly/oligopoly leads to high consumer surplus at the cost of minimal revenue generation for the competing SPs. Thus, price regulation is proposed in the WLAN market for equitable distribution of the surplus among the SPs and the users.

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Section: User Demand Distributionmentioning

confidence: 99%

“…Hence, at least one column in (8) must have non-zero entries for all these SPs. From (5), this implies u 1l = u ml ∀m ∈ M. The user type defined by this column is the 'equilibrium characterising user type'. This proves Proposition 1.…”

Section: User Demand Distributionmentioning

confidence: 99%

Wireless local area network service providers’ price competition in presence of heterogeneous user demand

2013

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“…In [6], the authors consider a novel network selection strategy based on transition models of terminal's multiple network interface cards, this strategy decreases the number of unnecessary reselections. Based on non-cooperative game, [7] and [8] propose a network selection algorithm employed non-cooperative game and the Nash equilibrium. However, these algorithms are employed in the heterogeneous wireless networks.…”

Section: Introductionmentioning

confidence: 99%

Multi-access selection with attractor selection algorithm in heterogeneous network

Wen

et al. 2015

2015 IEEE/CIC International Conference on Communications in China (ICCC)

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To solve the problems of heterogeneous wireless network, such as scarce spectrum resources, interference among radio resources and blindness area caused by excessive demands of mobile users, a novel system which integrates the power line carrier (PLC) and the wireless network (WN) with the attractor selection algorithms is proposed. Due to multi-selected paths being transmitted information according to the network environment, the robustness and stability of the integrated the PLC and the WN (IPWN) are improved. Moreover, to transmit the data packets in the different communication protocol of PLC and WN, the effective virtual layer (EVL) above the network layer is employed to convert protocol between the PLC and the WN by resealing the packet. Then, the attractor selection algorithm is employed to select the optimal path among the PLC or the WN adaptively according to the external conditions. Simulation results demonstrate that, comparing to the PLC and the WN, the packet delay of the IPWN is smaller with the increase of the packets, and the IPWN has strong robustness and stability.

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“…On the other hand, the authors of [8] develop a framework to analyze service providers' strategies to attract users, by offering competitive prices. As a combination of these two approaches, [2] presents both non-cooperative and cooperative games, to tackle optimal pricing and network selection, respectively. Finally, it is also worth mentioning that there exist other works addressing pricing policies, but without game theory.…”

Section: Introductionmentioning

confidence: 99%

On the Equilibrium of Pricing Assignment for Heterogeneous Wireless Access Networks

López

Choque

Agüero

et al. 2013

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Next generation networks and service providers are rapidly evolving in order to satisfy the demands of an increasing number of users. Nowadays, one of the most relevant research lines in the Heterogeneous Wireless Access Networks realm is the use of procedures and mechanisms so as to provide intelligence to the network, with the main goal of optimizing its performance. Furthermore, mobile communication users are becoming more demanding, and thus it becomes essential for the providers to be able to offer a competitive value for money. This paper pursues the objective of obtaining, from an analytical perspective, the optimum price assignment strategy according to the characteristics of a particular scenario, analyzing the improvement attained with such optimum pricing policy as compared to a more traditional one. Game theory techniques, which are gathering the interest within the communications scientific community, are used for the analysis.

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Game-theoretic approach for pricing strategy and network selection in heterogeneous wireless networks

Cited by 27 publications

References 10 publications

Wireless local area network service providers’ price competition in presence of heterogeneous user demand

Wireless local area network service providers’ price competition in presence of heterogeneous user demand

Multi-access selection with attractor selection algorithm in heterogeneous network

On the Equilibrium of Pricing Assignment for Heterogeneous Wireless Access Networks

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