A game theoretical formulation of integrated admission control and pricing in wireless networks

Rouskas, Angelos; Kikilis, Anastasios; Ratsiatos, S.S.

doi:10.1016/j.ejor.2007.07.017

Cited by 10 publications

(4 citation statements)

References 13 publications

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“…This is particularly true in papers where the focus of the research is geared towards the business aspects of maximizing revenues and profits and minimizing the costs of the users, and less on the technical aspects related to QoS. For instance, in [10], the authors propose an excellent scheme for balancing the competing financial pressures, however make the assumption that the network operators are able to provide two classes of services with "well-defined rate requirements and delay characteristics." It is often not possible in wireless networks due to interference and contention in the medium.…”

Section: Defining a High Performance Heterogeneous Wireless Networkmentioning

confidence: 93%

Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints

Ernst

Kremer

Rodrigues³

2015

Proceedings of the 30th Annual ACM Symposium on Applied Computing

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Metrics, objectives and point of view are crucial to designing a high performance wireless network. A high performance network is different from one user to the next. Network design is often concerned with optimizing traditional metrics such as packet delivery ratio, throughput and delay. However, a user is interested in a trade-off between these, and many more metrics such as cost in order to have a good experience depending on their application. Furthermore, operators who run these networks are interested in meeting the users' requirements in order to maintain a good reputation. Operators are also interested in maximizing revenue and profit since most networks are commercial enterprises. With these competing interests in mind, this paper proposes a network model for heterogeneous wireless networks which may be used to make informed decisions for handover, routing, scheduling and other common network functions which often depend on traditional, limited metrics. Experimental evidence for these shortcomings is provided, using 802.11 Wi-Fi as an example case. A simple Pareto method for addressing the shortcomings of the traditional approach is given as a basis for future work which may be expanded to more complicated HWNs.

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Section: Defining a High Performance Heterogeneous Wireless Networkmentioning

confidence: 93%

Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints

Ernst

Kremer

Rodrigues³

2015

Proceedings of the 30th Annual ACM Symposium on Applied Computing

View full text Add to dashboard Cite

show abstract

“…Several researches consider QoS in their models including Zhang et al (2008Zhang et al ( , 2009; Hosanagar et al (2005); and Bhargava and Sun (2008). Rouskas et al (2008), Guan et al (2008), and Fulp and Reeves (2004) considered profitmaximizing problem under different QoS. Jukic et al (2004) considered two types of network services: network service with bandwidth and delay guarantee and best-effort network service without quality guarantee.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal contract design for cloud computing service with resource service guarantee

Kuo

Huang

Yang

2017

Journal of the Operational Research Society

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The optimal contract design for cloud computing service with resource guarantee under the consideration of resource redundancy and network externality is studied in this research. A model in which a service provider determines joint pricing and resource allocation decisions is constructed by proposing two types of contracts with different service-level agreements (SLAs). The SLA of each contract describes the price and associated penalty if the provider cannot provide the resource requested by the customers. Optimal pricing and resource allocation decisions as well as the equilibrium contracts of the service provider are analyzed based on the dynamics of the model characteristics. We found that optimal contract design is sensitive to both service levels and customers' beliefs of compensation ratio when the requested resource is unfulfilled. Furthermore, service providers should evaluate the trade-off between benefit of price discrimination and effect of network externality when determining the optimal contract design.

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“…Olinick and Rosenberger () presented a stochastic revenue optimization model for the code‐division multiple‐access networks and developed a super‐gradient algorithm to solve it. Rouskas et al () investigated the admission control and pricing for a service provider through a game model. Yaiparoj et al () introduced a novel pricing model for general packet radio service networks; their objectives were to maximize the operators' overall revenue and potentially improve the performance of general packet radio service networks.…”

Section: Operations Research Applications In Different Service Industmentioning

confidence: 99%

Operations Research (OR) in Service Industries: A Comprehensive Review

Xing

et al. 2013

Syst. Res.

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The share of gross domestic product from the service industry reflects the competitiveness of a nation; the service industry in the USA accounts for around 80% of its gross domestic product, and it has been increasing gradually. Continual innovations and advances in enabling technologies for the service industry are crucial for developed countries to sustain their leading positions in the globalized economy. To clarify future research directions of operations research (OR) in the service industry, the state of art of OR has been examined systematically, the new requirements of OR are identified for its applications in service industries in comparison with those in manufacturing industries, and the limitations of existing methodologies and tools have been discussed. This paper was intended to provide an updated review on how OR has been applied in the service sector in recent years and what directions the study of OR will be carried forward in the near future. Under a proposed research framework, recent OR-related articles were collected from 17 leading OR journals and classified into the five most active sectors, that is, transportation and warehousing, information and communication, human health and social assistance, retails and wholesales, and financial and insurance services. The conclusions on the limitations of existing studies and the demanding ORs in the service have been drawn from our summaries and observations from a comprehensive review in this field.

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A game theoretical formulation of integrated admission control and pricing in wireless networks

Cited by 10 publications

References 13 publications

Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints

Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints

Optimal contract design for cloud computing service with resource service guarantee

Operations Research (OR) in Service Industries: A Comprehensive Review

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