Economics of WiFi offloading: Trading delay for cellular capacity

Lee, Joohyun; Ye, Yi; Chong, Song; Jin, Ya-Ping

doi:10.1109/infcom.2013.6567156

Cited by 63 publications

(74 citation statements)

References 8 publications

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“…Utilities: The operator's utility function is given by U Operator (ε, δ) in (3). The utility function of D2D-Tx is given by U D2D−T x (R D ) in (8).…”

Section: D2d-tx As a Follower Takes Action In Stage II Stages I And mentioning

confidence: 99%

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An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

Shang

Zhao

Chen

et al. 2018

IEEE Trans. Wireless Commun.

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Abstract-Traffic offloading via device-to-device (D2D) communications has been proposed to alleviate the traffic burden on base stations (BSs) and to improve the spectral and energy efficiency of cellular networks. The success of D2D communications relies on the willingness of users to share contents. In this paper, we study the economic aspect of traffic offloading via content sharing among multiple devices and propose an incentive framework for D2D assisted offloading. In the proposed incentive framework, the operator improves its overall profit, defined as the network economic efficiency (ECE), by encouraging users to act as D2D transmitters (D2D-Txs) which broadcast their popular contents to nearby users. We analytically characterize D2D assisted offloading in cellular networks for two operating modes: 1) underlay mode and 2) overlay mode. We model the optimization of network ECE as a two-stage Stackelberg game, considering the densities of cellular users and D2D-Tx's, the operator's incentives and the popularity of contents. The closedform expressions of network ECE for both underlay and overlay modes of D2D communications are obtained. Numerical results show that the achievable network ECE of the proposed incentive D2D assisted offloading network can be significantly improved with respect to the conventional cellular networks where the D2D communications are disabled.

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“…Utilities: The operator's utility function is given by U Operator (ε, δ) in (3). The utility function of D2D-Tx is given by U D2D−T x (R D ) in (8).…”

Section: D2d-tx As a Follower Takes Action In Stage II Stages I And mentioning

confidence: 99%

“…In [3], the economic benefits of delayed WiFi offloading were investigated, while in [4] the economic effects of useroriented delayed Wi-Fi offloading were studied in monopoly and duopoly market models. In [17], pricing strategies for both macro and femto cell operators in a cognitive femtocell network were discussed.…”

Section: Introductionmentioning

confidence: 99%

An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

Shang

Zhao

Chen

et al. 2018

IEEE Trans. Wireless Commun.

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“…[11] have showed that offloading 3G traffic to WiFi can significantly benefit mobile ISPs. Other systems have demonstrated offloading's benefits for user experience [6], [8], [9]; other works demonstrate that WiFi offloading can benefit both ISPs and users [12] and even generate more revenue for ISPs [13].…”

Section: Related Workmentioning

confidence: 99%

AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs

Joe‐Wong

et al. 2016

IEEE Trans. on Mobile Comput.

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Abstract-To cope with recent exponential increases in demand for mobile data, wireless Internet service providers (ISPs) are increasingly changing their pricing plans and deploying WiFi hotspots to offload their mobile traffic. However, these ISP-centric approaches for traffic management do not always match the interests of mobile users. Users face a complex, multi-dimensional tradeoff between cost, throughput, and delay in making their offloading decisions: while they may save money and receive a higher throughput by waiting for WiFi access, they may not wait for WiFi if they are sensitive to delay. To navigate this tradeoff, we develop AMUSE (Adaptive bandwidth Management through USer-Empowerment), a functional prototype of a practical, cost-aware WiFi offloading system that takes into account a user's throughput-delay tradeoffs and cellular budget constraint. Based on predicted future usage and WiFi availability, AMUSE decides which applications to offload to what times of the day. Since nearly all traffic flows from mobile devices are TCP flows, we introduce a new receiver-side bandwidth allocation mechanism to practically enforce the assigned rate of each TCP application. Thus, AMUSE users can optimize their bandwidth rates according to their own cost-throughput-delay tradeoff without relying on support from different apps' content servers. Through a measurement study of 20 smartphone users' traffic usage traces, we observe that though users already offload a large amount of some application types, our framework can offload a significant additional portion of users' cellular traffic. We implement AMUSE on Windows 7 tablets and evaluate its effectiveness with 3G and WiFi usage data obtained from a trial with 37 mobile users. Our results show that AMUSE improves user utility; when compared with AMUSE, other offloading algorithms yield 14% and 27% lower user utilities for light and heavy users, respectively. Intelligently managing users' competing interests for cost, throughput, and delay can therefore improve their offloading decisions.

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“…WiFi offloading also has economic benefits, as a part of the cellular traffic is carried by low-cost WiFi networks. The economic performance is investigated in [17]. It is shown that the delayed offloading can yield great economic benefits compared to the on-the-spot offloading, in which 21% to 152% in the provider's revenue and 73% to 319% in the user's surplus (defined as the summation of users' net-utility) can be increased.…”

Section: Offloading Performancementioning

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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Economics of WiFi offloading: Trading delay for cellular capacity

Cited by 63 publications

References 8 publications

An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs

Vehicular WiFi offloading: Challenges and solutions

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