A theoretical scheme for applying game theory and network selection mechanisms in access admission control

Charilas, Dimitris E.; Markaki, Ourania I.; Τράγος, Ηλίας

doi:10.1109/iswpc.2008.4556219

Cited by 26 publications

(13 citation statements)

References 8 publications

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“…Charilas D and Markaki O [5] have studied the wireless resource management mechanism in the heterogeneous environment, put forward the converged network selection mechanism and theoretical scheme of game theory, and modelled the access control into non-cooperative game, so as to get the maximum return through mutual game between networks, and then ensure to maximize service QoS. Zhu Kun [6] solves the selection problem through Bayesian game under the condition of incomplete information.…”

Section: Related Workmentioning

confidence: 99%

Study on Access Selection of Heterogeneous Wireless Network in the View of Evolutionary Game

Guo¹,

Lv²,

Xue³

et al. 2014

TOAUTOCJ

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Along with the continuous development of wireless communication technology and popularization of multimode terminal, the seamless fusion of various heterogeneous wireless networks has gradually become the trend of network development. The diversified forms of network access enable the multi-mode terminal to dynamically select the access network with the highest utility value to obtain network service according to specific standard. The study selects a typical heterogeneous network scenario, abstracts users' network selection process to be group game model, adopts the evolutionary methods, and then studies user's network selection process through replicator dynamics. On the basis of it, it puts forwards a kind of network selection algorithm in the view of replicator dynamics and verifies its algorithm performance through simulation results, and then analyzes the impact of different factors on evolutionary equilibrium in detail.

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Section: Related Workmentioning

confidence: 99%

Study on Access Selection of Heterogeneous Wireless Network in the View of Evolutionary Game

Guo¹,

Lv²,

Xue³

et al. 2014

TOAUTOCJ

View full text Add to dashboard Cite

show abstract

“…But it also induces price increment by the provider. Thus, self increment of the weight of a user means that he is 3 The detailed procedures are omitted due to page limit.…”

Section: Pricing Game and Convex Optimizationmentioning

confidence: 99%

“…Femtocells, which work like cellular BSs or WLAN APs except for covering a small area, are such emerging example of multiple provider environments. Since each service provider will behave in a selfish manner to increase utilization of its limited wireless resources, competition among the service providers will be a new paradigm of future wireless networks to come [3]- [5]. 1 In this paper, we use the terms AP, BS, and provider interchangeably.…”

Section: Introductionmentioning

confidence: 99%

Revenue Maximizing Game and Its Extension for Multicell Wireless Access Networks

Jang

Yoon

Bahk

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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As the number of wireless service providers increases, competition among them is becoming stronger in wireless access networks. On the other hand, users actively change their behaviors toward the networks to get more network resources such as service time, bandwidth, capacity, etc. That is, each user will actively choose a cell or a network that offers the largest amount of resources with the lowest cost. In these environments, service providers have to consider not only technical factors but also economical factors such as revenue and user price. By controlling the pricing policy, a service provider can recruit or refuse users that are trying to associate with.In this paper, we first model the resource purchasing and pricing game scheme that takes not only revenue of a service provider but also user satisfaction into account. Assuming selfish behaviors, solution is derived using game theoretic approach. The solution produces the integrated purchasing and pricing scheme that shows cell breathing effect. We extend the model to multicell environments where a user has freedom to choose its service provider. As a user actively changes its weight of the utility function and chooses a cell to associate with, overall performance can be improved. We demonstrate the effect of load balancing with the pricing policy, and the performance improvement compared to a conventional method of association via simulation.

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“…And a grey relational analysis (GRA) method is designed to calculate the relational grade between network parameters and QoS requirements [5] [11]. Other researches have investigated into network selection models, such as game theory model [9] [10].…”

Section: Introductionmentioning

confidence: 99%

A Weighted Bipartite Graph Based Network Selection Scheme for Multi-Flows in Heterogeneous Wireless Network

Zhang

Yuan

Zhou³

et al. 2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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Network selection is an important issue in the next generation of heterogeneous wireless network and well studied for individual flows. However, researches of network selection for multi-flows at network side are seldom touched upon but also important from the global view of optimizing usage of network resources. In this paper, a weighted bipartite graph based network selection scheme for multi-flows is proposed, which adopt secondary exponential smoothing method to perform network resource prediction and assign flows to networks based on Matching Degree(MD). The network selection scheme is modeled as weighted bipartite graph with objectives of maximizing Matching Degrees and access ratio as well as the constraint of guaranteeing no network overloaded. Weighted Bipartite Graph Algorithm (WBGA) is designed to achieve the goals. Simulation results show that WBGA demonstrates best performance compared to other schemes, with regard to average MD, access ratio and utilization ratio of network resources.

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A theoretical scheme for applying game theory and network selection mechanisms in access admission control

Cited by 26 publications

References 8 publications

Study on Access Selection of Heterogeneous Wireless Network in the View of Evolutionary Game

Study on Access Selection of Heterogeneous Wireless Network in the View of Evolutionary Game

Revenue Maximizing Game and Its Extension for Multicell Wireless Access Networks

A Weighted Bipartite Graph Based Network Selection Scheme for Multi-Flows in Heterogeneous Wireless Network

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