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A great deal of research energy has been focused on the challenge of delivering high-quality video content to mobile users. In many over-the-top video services, however, the scheduler responsible for channel resource allocation is not aware of content characteristics or playback schedules at end user devices. Therefore, it cannot allocate physical resources in a way that maximizes video quality. For...
Media webcasting and conferencing that involve many geographically distributed participants contribute significantly to congestion in the Internet. The current usage-based data pricing model does not take into account the hidden cost imposed by media streaming in the Internet core, including the network cost of replicating and relaying traffic in video multicast, and could potentially exacerbate congestion...
With the popularity of bandwidth-intensive mobile applications and mobile devices, the data traffic is increasing fast nowadays. This poses huge burden to the Internet service providers (ISPs) to support such wireless data traffic as they need to invest on developing advance networks, e.g., 4G, or expending the capacity of the current networks in a much faster pace. One way to keep up financing such...
This paper studies a monopoly telecom operator's decision on the adoption of shared data plans. A shared data plan allows sharing data quota among multiple devices or users, while conventional single device data plans only allow the use of a single device. We devise analytical models and compare a simple shared data plan (also called bundling pricing) to single device data plans (also called partitioned...
Best Effort service has been the bedrock of the Internet. The simultaneous offering of Managed Service has been proposed as an efficient way to support quality of service, to make some applications feasible and many others more attractive, and give consumers greater choice. However, there is widespread concern that if a network provider is allowed to offer Managed Service and charge a per-use fee,...
We consider a simple two-sided market model of an Internet Service (access) Provider (ISP) and Content Provider (CP, over commodity Internet access) on a platform of user-demand. Though the model does not consider provider competition and resource congestion, it does consider advertising revenue, multiple ISP service classes, separate price sensitives for each provider type, and side-payments from...
Opening “prime” spectrum to unlicensed usage can lower the costs for offering wide area wireless services but may also lead to greater congestion due to multiple providers operating in the same band. To mitigate congestion, service providers may invest in more infrastructure or better technology. The costs of such investments must be weighed against the potential gains in revenue, which in turn will...
We propose a novel information market for TV white space networks, where white space databases sell the information regarding the TV channel quality to unlicensed white space devices (WSDs). Different from the traditional spectrum market, the information market demonstrates the positive network externality, as more WSDs purchasing the information from a database will increase the value of the database's...
In this work, we investigate the profit maximization problem of a network service provider through smart pricing and proactive data services. The demand characteristics of each user are dependent on the price and willingness-to-pay values of each service. By learning these characteristics, the service provider can further improve its profit performance through a proactive service of the predictable...
In the smart grid system, dynamic pricing can be an efficient tool for the service provider which enables efficient and automated management of the grid. However, in practice, the lack of information about the customers' time-varying load demand and energy consumption patterns and the volatility of electricity price in the wholesale market make the implementation of dynamic pricing highly challenging...
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