A Double-Auction Mechanism for Mobile Data-Offloading Markets

Iosifidis, George; Gao, Lin; Huang, Jianwei; Tassiulas, Leandros

doi:10.1109/tnet.2014.2345875

Cited by 233 publications

(207 citation statements)

References 33 publications

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“…Based on KKT conditions and following the methodology presented in [68] it can be easily shown that ̇( , , ) ≤ 0 and, therefore, the sub-gradient algorithm is stable around equilibrium.…”

Section: Stability Analysismentioning

confidence: 99%

Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources

Αναστασόπουλος

Tzanakaki

Simeonidou

2016

IEEE J. Select. Areas Commun.

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Section: Stability Analysismentioning

confidence: 99%

Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources

Αναστασόπουλος

Tzanakaki

Simeonidou

2016

IEEE J. Select. Areas Commun.

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“…The security issues in WiFi offloading are studied in [26]. The incentive models of WiFi offloading can be found in [25,27,28].…”

Section: Other Research Issuesmentioning

confidence: 99%

Vehicular WiFi offloading: Challenges and solutions

Cheng

Liu

Zhang

et al. 2014

Vehicular Communications

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WiFi offloading is envisioned as a promising solution to the mobile data explosion problem in cellular networks. WiFi offloading for moving vehicles, however, poses unique characteristics and challenges, due to high mobility, fluctuating mobile channels, etc. In this paper, we focus on the problem of WiFi offloading in vehicular communication environments. Specifically, we discuss the challenges and identify the research issues related to drive-thru Internet access and effectiveness of vehicular WiFi offloading. Moreover, we review the state-of-the-art offloading solutions, in which advanced vehicular communications can be employed. We also shed some lights on the path for future research on this topic.

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“…In [12], a reverse auction-based incentive mechanism is proposed to motivate user equipment (UEs) to assist mobile data offloading, where the cellular operator offers an incentive to UEs in exchange for delay during which the data are not received via the cellular network. In the iterative double auction mechanism [13], the buyers (cellular operators) and sellers (AP owners) submit their bids to the broker to maximize their payoffs, and the broker then returns the auction outcome to maximize the social welfare (i.e., the sum of players' resource valuations). In [14], auction-based WiFi offloading in vehicular environments is proposed to improve the utility of vehicle users and increase the revenue of cellular network operator.…”

Section: Introductionmentioning

confidence: 99%

Game-Theoretic Scalable Offloading for Video Streaming Services over LTE and WiFi Networks

Park

Song

2018

IEEE Trans. on Mobile Comput.

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Abstract-This paper presents a game-theoretic scalable offloading system that provides seamless video streaming services by effectively offloading parts of video traffic in all video streaming services to a WiFi network to alleviate cellular network congestion. The system also consolidates multiple physical paths in a cost-effective manner. In the proposed system, the fountain encoding symbols of compressed video data are transmitted through long term evolution (LTE) and WiFi networks concurrently to flexibly control the amount of video traffic through the WiFi network as well as mitigate video quality degradation caused by wireless channel errors. Furthermore, the progressive second price auction mechanism is employed to allocate the limited LTE resources to multiple user equipment in order to maximize social welfare while converging to the ε-Nash equilibrium.Specifically, we design an application-centric resource valuation that explicitly considers both the realistic wireless network conditions and characteristics of video streaming services. In addition, the scalability and convergence properties of the proposed system are verified both theoretically and experimentally. The proposed system is implemented using network simulator 3. Simulation results are provided to demonstrate the performance improvement of the proposed system.

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A Double-Auction Mechanism for Mobile Data-Offloading Markets

Cited by 233 publications

References 33 publications

Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources

Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources

Vehicular WiFi offloading: Challenges and solutions

Game-Theoretic Scalable Offloading for Video Streaming Services over LTE and WiFi Networks

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