Win-Coupon: An incentive framework for 3G traffic offloading

Zhuo, Xuejun; Gao, Wei; Dai, Yanwei

doi:10.1109/icnp.2011.6089054

Cited by 112 publications

(69 citation statements)

References 28 publications

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“…By modeling user utility and cost both as a function of the 3G and WiFi network usage, the user's benefit, i.e., the difference between the utility and the cost, is maximized through an optimization problem. Following the same direction, the authors in [23] propose a framework for 3G traffic offloading based on the idea of motivating mobile users with high delay tolerance to offload their traffic to Wi-Fi networks. A feasible approach consists of delaying all delay tolerant applications until their maximum delay tolerance, and then resorting to the cellular networks if the applications cannot finish.…”

Section: Vertical Data Offloadingmentioning

confidence: 99%

Mobile data traffic offloading over Passpoint hotspots

et al. 2015

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Wi-Fi technology has always been an attractive solution for catering the increasing data demand in mobile networks because of the availability of WiFi networks, the high bit rates they provide, and the lower cost of ownership. However, the legacy WiFi technology lacks of seamless interworking between Wi-Fi and mobile cellular networks on the one hand, and between Wi-Fi hotspots on the other hand. Nowadays, the recently released Wi-Fi Certified Passpoint Program provides the necessary control-plane for these operations. Service providers can henceforth look to such Wi-Fi systems as a viable way to seamlessly offload mobile traffic and deliver added-value services, so that subscribers no longer face the frustration and aggravation of connecting to Wi-Fi hotspots. However, the technology being rather recent, we are not aware of public studies at the state of the art documenting the achievable gain in real mobile networks. In this paper, we evaluate the capacity and energy saving gain that one can get by offloading cellular data traffic over Passpoint hotspots as a function of different hotspot placement schemes and of access point selection policies (two enabled by the Passpoint control-plane and one independent of it). We compare the policies using real mobile data from the Orange network in Paris. We show that offloading using Passpoint control-plane information can grant up to 15% capacity gain and 13% energy saving gain with respect to Passpoint-agnostic ones based on signal quality information. As of placement strategy, installing Passpoint hotspots in the outer annulus of the macrocell coverage grants the maximum capacity gain.

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Section: Vertical Data Offloadingmentioning

confidence: 99%

Mobile data traffic offloading over Passpoint hotspots

et al. 2015

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“…Moreover, we leave out the discussion on incentives that are vital to convince users to agree to spend their battery and storage resources to relay data to someone else. This is an orthogonal prob-lem addressed in the opportunistic networking literature through appropriate mechanisms (see, for example, [32]). …”

Section: Ns-3 Implementationmentioning

confidence: 99%

A joint multicast/D2D learning-based approach to LTE traffic offloading

Rebecchi

Valerio

Bruno

et al. 2015

Computer Communications

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Multicast is the obvious choice for disseminating popular data on cellular networks. In spite of having better spectral efficiency than unicast, its performance is bounded by the user with the worst channel in the cell. To overcome this limitation, we propose to combine multicast with device-to-device (D2D) communications over an orthogonal channel. Such a strategy improves the efficiency of the dissemination process while saving resources at the base station. It is quite challenging, however, to decide which users should be served through multicast transmissions and which ones should receive the content via D2D communications. The progress of content dissemination through D2D communications depends on how users meet while on the move. The optimal decision for each content depends both on the status of the LTE channel (when the multicast transmission is executed) and on the evolution of the mobility process of the nodes from there on. We propose a learning solution based on a multi-armed bandit algorithm that dynamically selects the best allocation of users between multicast and D2D to guarantee the timely delivery of data. Numerical evaluations are performed to compare our proposal with the state-of-the-art scheme and an optimal but unfeasible strategy. We confirm that a proper mix of multicast and D2D helps operators save resources at the base station and that the learning algorithm can autonomously find a near-optimal configuration in a reasonable time.

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“…Carriers may offer incentives and pricing discounts to motivate mobile subscribers to offer their battery and storage resources to this end [5]. The core mechanism behind DROiD aims at alleviating the load on the operator's infrastructure by reducing redundant traffic.…”

Section: Droid Injects a Few Copies Opportunistic Propagation Keeps Rmentioning

confidence: 99%

DROid: Adapting to individual mobility pays off in mobile data offloading

Rebecchi

Amorim

Conan

2014

2014 IFIP Networking Conference

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Abstract-Cellular operators count on the potentials of offloading techniques to relieve their overloaded data channels. Beyond standard access point-based offloading strategies, a promising alternative is to exploit opportunistic direct communication links between mobile devices. Nevertheless, achieving efficient deviceto-device offloading is challenging, as communication opportunities are, by nature, dependent on individual mobility patterns. We propose, design, and evaluate DROiD (Derivative Re-injection to Offload Data), an original method to finely control the distribution of popular contents throughout a mobile network. The idea is to use the infrastructure resources as seldom as possible. To this end, DROiD injects copies through the infrastructure only when needed: (i) at the beginning, in order to trigger the dissemination, (ii) if the evolution of the opportunistic dissemination is below some expected pace, and (iii) when the delivery delay is about to expire, in order to guarantee 100% diffusion. Our strategy is particularly effective in highly dynamic scenarios, where sudden creation and dissolution of clusters of mobile nodes prevent contents to diffuse properly. We assess the performance of DROiD by simulating a traffic information service on a realistic largescale vehicular dataset composed of more than 10,000 nodes. DROiD substantially outperforms other offloading strategies, saving more than 50% of the infrastructure traffic even in the case of tight delivery delay constraints. DROiD allows terminalto-terminal offloading of data with very short maximum reception delay, in the order of minutes, which is a realistic bound for cellular user acceptance.

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Win-Coupon: An incentive framework for 3G traffic offloading

Cited by 112 publications

References 28 publications

Mobile data traffic offloading over Passpoint hotspots

Mobile data traffic offloading over Passpoint hotspots

A joint multicast/D2D learning-based approach to LTE traffic offloading

DROid: Adapting to individual mobility pays off in mobile data offloading

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