Pricing Communication Networks: Economics, Technology and Modelling (Wiley Interscience Series in Systems and Optimization)
An Empirical Study on the Capacity and Performance of 3G Networks
IEEE Transactions on Mobile Computing
Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Proceedings of the 8th international conference on Mobile systems, applications, and services
Cooperation among wireless service providers: opportunity, challenge, and solution
IEEE Wireless Communications
MOTA: engineering an operator agnostic mobile service
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Cooperative profit sharing in coalition-based resource allocation in wireless networks
IEEE/ACM Transactions on Networking (TON)
A close examination of performance and power characteristics of 4G LTE networks
Proceedings of the 10th international conference on Mobile systems, applications, and services
Fundamental design issues for the future Internet
IEEE Journal on Selected Areas in Communications
Making use of all the networks around us: a case study in android
Proceedings of the 2012 ACM SIGCOMM workshop on Cellular networks: operations, challenges, and future design
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Possibility to access different cellular data network services from the same mobile platform is quite high in near future [kill1]. This gives smartphone applications an opportunity to choose amongst multiple services based on their functionality and user-desired QoE. In this paper we propose a framework that predicts the service, which suits an application best and at the same time provides desired QoE, while saving energy and dollar costs. We also develop a prototype system, Adapp, that trains itself online with user feedbacks and its prediction accuracy improves over use. We demonstrate with the help of rigorous experiments, how different users have varying service preferences for the same application, while the same user can have different preferences across applications. Experimental results validate the adaptive nature of the system. We have also analyzed Adapp's accuracy in selecting the most appropriate service and the errors show an appreciable receding trend over time.