Demand-Responsive Pricing in Open Wireless Access Markets

Blomgren, Mats; Hultell, Johan

doi:10.1109/vetecs.2007.613

Cited by 5 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The wireless access point defines its allocation strategy to be proportionally fair by weight [47]. After all bids are reported to the wireless access point, then the wireless access point determines an allocation…”

Section: Bandwidth Allocation Strategymentioning

confidence: 99%

Cooperative Packet Delivery in Hybrid Wireless Mobile Networks: A Coalitional Game Approach

Akkarajitsakul

Hossain

Niyato

2013

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

In wireless communications, when available radio resources are insufficient compared to the total demand from mobile nodes, the resources need to be allocated among the nodes optimally. Game theory is a mathematical tool which can be applied for design, analysis, and optimization of multiple access and resource allocation in wireless networks. We first present a noncooperative auction game model to solve iii Table of Contents Abstract ii Table of Contents iii List of Figures ix List of Tables xiii Acknowledgement xv Dedication xvi I am greatly thankful to my advisor, Dr. Ekram Hossain, for his insightful advice and support throughout my Ph.D. study at University of Manitoba. His advice on both academic and real-world perspectives has been very useful to me. My grateful thank also goes to Auto21 NCE for the financial support. I am greatly thankful to

show abstract

Section: Bandwidth Allocation Strategymentioning

confidence: 99%

Cooperative Packet Delivery in Hybrid Wireless Mobile Networks: A Coalitional Game Approach

Akkarajitsakul

Hossain

Niyato

2013

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

show abstract

“…Henceforth, we will refer it as the DP behavior model. In the literature, the DP model has been applied extensively to practical real-world scenarios in demand vs. resource consumption behavior in applications such as radio resource allocation in multimedia communication systems [41], [43], distributed energy resource allocation in information and communication systems [42], and admission control for pricing optimization of multiple service classes in wireless networks [23]. We apply the DP model to describe the practical relationship between a node's selfish behavior vs. its energy status, the mission status, and the environment condition.…”

Section: Selfishness Vs Altruism Behavior Modelmentioning

confidence: 99%

On the tradeoff between altruism and selfishness in MANET trust management

Cho¹,

Chen²

2013

Ad Hoc Networks

View full text Add to dashboard Cite

Abstract:Mobile ad hoc and sensor networks may consist of a mixture of nodes, some of which may be considered selfish due to a lack of cooperativeness in providing network services such as forwarding packets. In the literature, existing trust management protocols for mobile ad hoc networks advocate isolating selfish nodes as soon as they are detected. Further, altruistic behaviors are encouraged with incentive mechanisms. In this paper, we propose and analyze a trust management protocol for group communication systems where selfish nodes exist and system survivability is highly critical to mission execution. Rather than always encouraging altruistic behaviors, we consider the tradeoff between a node's individual welfare (e.g., saving energy to prolong the node lifetime) versus global welfare (e.g., achieving a given mission with sufficient service availability) and identify the best design condition of this behavior model to balance selfish vs. altruistic behaviors. With the system lifetime and the mission success probability as our trust-based reliability metric, we show that our behavior model that exploits the tradeoff between selfishness vs. altruism outperforms one that only encourages altruistic behaviors.

show abstract

“…In the past, a number of system models have been proposed for bandwidth allocation and pricing in wireless environments in which different combinations of service providers, customers, and government regulations are considered and various concepts are used such as auction [2][3] [4], game theory [5][6] [7], and economic analysis [8] [9]. Among them, auction is the most popular approach.…”

Section: Related Workmentioning

confidence: 99%

“…They apply economic analysis techniques in a monopoly market to determine the optimum price for the service provider. The approach in [9] uses game theory to study demand-responsive pricing for radio resource management where multiple access points compete for users. In contrast to the above works, we use a non-linear optimal price schedule to discriminate between different types of MVNOs under incomplete information.…”

Section: Related Workmentioning

confidence: 99%

Optimal Incentive-Compatible Pricing for Dynamic Bandwidth Trading and Allocation in Efficient Spectrum Management

Sun

Pan

et al. 2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

View full text Add to dashboard Cite

The wireless spectrum is a limited resource. The concepts of cognitive radio and dynamic spectrum allocation (DSA) have been considered as a possible mechanism to improve the efficiency of bandwidth usage and solve the bandwidth deficiency problem. In this work, we propose an open interactive dynamic bandwidth trading model to enable periodic, short-term trading of unused bandwidth by licensed spectrum owners to sublet their surplus resources to service providers that need bandwidth. The model comprises of two phases. The goal of the phase one is to find out the demand of the intended buyers through multiple rounds of learning and revising of the quantityprice schedule. Based on the type distribution of the intended potential buyers, the optimal quantity-price schedule is derived which satisfies the incentive compatibility (aka self-selection) and the individually rational constraints that maximizes the MNO's profit and assures that the quantity-price pair designed for MVNO of a specific type will choose the pair that maximizes its utility. We also present an algorithm to convert the continuous optimal quantity-price schedule to a discrete one so as to provide a simple easy-to-read format for MVNOs' selection. If the total number of bandwidth requests exceeds the total capacity constraint, a bounded knapsack problem is used to resolve for final bandwidth allocation. Lastly, an example is provided to illustrate the process.

show abstract

Demand-Responsive Pricing in Open Wireless Access Markets

Cited by 5 publications

References 11 publications

Cooperative Packet Delivery in Hybrid Wireless Mobile Networks: A Coalitional Game Approach

Cooperative Packet Delivery in Hybrid Wireless Mobile Networks: A Coalitional Game Approach

On the tradeoff between altruism and selfishness in MANET trust management

Optimal Incentive-Compatible Pricing for Dynamic Bandwidth Trading and Allocation in Efficient Spectrum Management

Contact Info

Product

Resources

About