Bits and coins: Supporting collaborative consumption of mobile internet

Syrivelis, Dimitris; Iosifidis, George; Delimpasis, Dimosthenis; Chounos, Kostas; Korakis, Thanasis

doi:10.1109/infocom.2015.7218600

Cited by 31 publications

(28 citation statements)

References 22 publications

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“…Specifically, in [14], Iosifidis et al propose a distributed incentive mechanism for encouraging MCA service. In [15], Syrivelis et al design a cloud-controlled MCA service and study a coalitional game played among users. In [16], Georgiadis et al study incentive mechanisms for services exchange in general networks.…”

Section: A User Provided Networkmentioning

confidence: 99%

“…Specifically, each MNO n decides its quantity (total output traffic) q n of all its downlinks and compete with each other. 15 Given these quantity choices, they follow a uniform delivered price π(·) which adjusts to the level that users' aggregate demands D(p) = i∈I d i (p) is equal to the MNOs' aggregate output, i.e., π(·) D −1 (·), where f −1 (·) denotes the inverse function of f (·).…”

Section: A Quantity Competition Gamementioning

confidence: 99%

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Hybrid Pricing for Mobile Collaborative Internet Access

Zhang

Gao

Huang

et al. 2019

IEEE/ACM Trans. Networking

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Mobile Collaborative Internet Access (MCA) enables mobile users to share their Internet through flexible tethering arrangements. This can potentially make better use of network resources. However, from a mobile network operator's (MNO's) viewpoint, it can either reduce revenue or increase congestion, and thus has been blocked by some MNOs in practice. We propose a hybrid pricing framework for MNOs who charge users separately for access and tethering. This scheme serves to coordinate the tethering decisions of mobile users with MNO network management objectives. We analyze the MNOs' equilibrium pricing strategies in both cooperative and competitive scenarios. In the cooperative scenario, at the equilibrium, each user's cost is independent of any chosen tethering links. We then characterize the optimal hybrid pricing strategies of MNOs in this scenario. For the competitive scenario, we formulate the MNOs' competitive interactions as a pricing game, and we show that MNO competition leads to equalized prices for users if an equilibrium exists but does not guarantee its existence. Both insights motivate a quantity competition game, which is shown to guarantee an equilibrium. Simulation results show that in scenarios of interest the proposed hybrid pricing schemes can double both MNOs' profit and users' payoff and such improvements increase with the degree of network heterogeneity.

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Section: A User Provided Networkmentioning

confidence: 99%

Section: A Quantity Competition Gamementioning

confidence: 99%

Hybrid Pricing for Mobile Collaborative Internet Access

Zhang

Gao

Huang

et al. 2019

IEEE/ACM Trans. Networking

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“…Many of the existing works focused on the sharing of one resource [4]- [9]. For example, the user-provided networking models in [4], [5] focus on the sharing of communication resource, the ad hoc computation offloading models in [6], [7] focus on the sharing of computation resource, and the ad hoc content sharing models in [8], [9] focus on the sharing of caching resource. We refer to these models as 1C sharing models, since each of them focuses on one type of the 3C resources.…”

Section: A Background and Motivationmentioning

confidence: 99%

“…Most of the existing works considered 1C models. For example, Iosifidis et al [4] and Syrivelis et al [5] proposed user-provided network models for communication resource sharing, where nearby devices share their Internet connectivity for cooperative downloading. Militano et al [12] proposed an uploading resource sharing model, where devices form effective coalitions to share their uploading resources.…”

Section: Literature Reviewmentioning

confidence: 99%

Enabling Edge Cooperation in Tactile Internet via 3C Resource Sharing

Tang

Gao

Huang

2018

IEEE J. Select. Areas Commun.

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Tactile Internet often requires (i) the ultra-reliable and ultra-responsive network connection and (ii) the proactive and intelligent actuation at edge devices. A promising approach to address these two requirements is to enable mobile edge devices to share their communication, computation, and caching (3C) resources via device-to-device (D2D) connections. In this paper, we propose a general 3C resource sharing framework, which includes many existing 1C/2C sharing models in the literature as special cases. Comparing with 1C/2C models, the proposed 3C framework can further improve the resource utilization efficiency by offering more flexibilities in the device cooperation and resource scheduling. As a typical example, we focus on the energy utilization under the proposed 3C framework. Specifically, we formulate an energy consumption minimization problem under the 3C framework, which is an integer non-convex optimization problem. To solve the problem, we first transform it into an equivalent integer linear programming problem that is much easier to solve. Then, we propose a heuristic algorithm based on linear programming, which can further reduce the computation time and produce a result that is empirically close to the optimal solution. Moreover, we evaluate the energy reduction due to the 3C sharing both analytically and numerically. Numerical results show that, comparing with the existing 1C/2C approaches, the proposed 3C sharing framework can reduce the total energy consumption by 83.8% when the D2D energy is negligible. The energy reduction is still 27.5% when the D2D transmission energy per unit time is twice as large as the cellular transmission energy per unit time.

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“…SDN architecture has the following advantages: high scalability/high flexibility of network deployment, fine and efficient data flow control, etc [17]. SDN provide to centralized network equipment, automated management, and unified strategy execution, compared to the current network architecture to improve the reliability and security [18].…”

Section: Software Defined Network Architecturementioning

confidence: 99%