提供补充无线技术:采用行为和卸载好处

Carlee Joe-Wong, S. Sen, Sangtae Ha
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引用次数: 36

摘要

为了缓解移动数据需求快速增长所造成的拥塞,互联网服务提供商已经开始鼓励用户将部分流量转移到补充的、质量更好的网络技术上,例如,从3G或4G转移到WiFi和femtocell。随着此类产品的日益普及,有必要更深入地了解潜在的经济原则及其对技术采用的影响。为此,我们开发了一种用户采用基础无线技术的模型,并将基础无线技术和附加技术捆绑在一起。在我们的模型中,个人用户根据几个因素做出采用决定,包括技术的内在质量,由于其他用户的拥塞外部性而导致的吞吐量下降,以及ISP收取的固定接入费率。我们研究了采用动力学,并证明了它们收敛于给定的一组外源确定的系统参数的唯一均衡。特别地,我们描述了有趣的采用行为的发生,包括随着其覆盖范围的增加而采用补充技术的可能减少。类似的行为发生在网络服务提供商利润最大化的价格和补充技术的最优覆盖区域。为了说明在实践中卸载的潜在好处,我们收集了20个移动用户的3G和WiFi使用情况和位置数据。然后,我们使用这些数据来数值研究当ISP考虑部署补充技术的成本和将流量卸载到该技术上的节省时,利润最大化的采用水平。
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Offering supplementary wireless technologies: Adoption behavior and offloading benefits
To alleviate the congestion caused by rapid growth in demand for mobile data, ISPs have begun encouraging users to offload some of their traffic onto a supplementary, better quality network technology, e.g., offloading from 3G or 4G to WiFi and femtocells. With the growing popularity of such offerings, a deeper understanding of the underlying economic principles and their impact on technology adoption is necessary. To this end, we develop a model for user adoption of a base wireless technology and a bundle of the base plus a supplementary technology. In our model, individual users make their adoption decisions based on several factors, including the technologies' intrinsic qualities, throughput degradation due to congestion externalities from other subscribers, and the flat access rates that an ISP charges. We study the adoption dynamics and show that they converge to a unique equilibrium for a given set of exogenously determined system parameters. In particular, we characterize the occurrence of interesting adoption behaviors, including a possible decrease in the adoption of the supplementary technology as its coverage increases. Similar behaviors occur at an ISP's profit-maximizing prices and the optimal coverage area for the supplementary technology. To account for the potential benefits from offloading in practice, we collect 3G and WiFi usage and location data from twenty mobile users. We then use this data to numerically investigate the profit-maximizing adoption levels when an ISP accounts for its cost of deploying the supplemental technology and savings from offloading traffic onto this technology.
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