@conference {
	title = {Joint Optimization for Social Content Dissemination in Wireless Networks},
	author = {Weng, Xiangnan., Baras, John S.},
	year = {2016},
	month = {09/2016},
	abstract = {Over the last decade, success of social networks~has significantly reshaped how information disseminate among ~users in terms of scale, intensity and speed. Much effort, both~academic and industrial, has been dedicated to learning the~patterns of content dissemination to further facilitate it. ~However,~as users become dominantly mobile in this process, little is done~to consider the impact of the wireless environment, in particular,~how to optimize the system, in the presence of capacity shortage,~to better disseminate the contents. In this paper, we propose ~a novel method, utilizing: 1) hybrid systems to handle active~disseminating requests; and 2) predictions of dissemination dynamics~from the social network applications. This method could~mitigate the performance degradation for content dissemination~due to wireless delivery delay. Results indicate that predictions of
dissemination at social layer, even coarse ones, benefit the social dissemination, by improving scheduling at wireless layer, which~in turn improves the accuracy of the predictions with feedback.},
	address = {Valencia, Spain},
	booktitle = {2016 IEEE 27th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)},
	pages = {pp. 1-7}
}
@conference {
	title = {Joint Optimization for Social Content Delivery in Wireless Networks},
	author = {Weng, Xiangnan., Baras, John S.},
	year = {2016},
	month = {05/2016},
	abstract = {Over the past decade, success of social networks has significantly reshaped how people consume information. Recommendation of contents based on user profiles is wellreceived. However, as users become dominantly mobile in content consumption, little is done to consider the optimization regarding the wireless environment. In this paper, we investigate a centralized wireless content delivery system with heterogeneous base stations, aiming to optimize overall user rewards given the capacity constraints of the wireless networks. We propose a scalable two-phase scheduling framework, consisting of: 1) distributed delivery decisions by each base station, and 2) resource consolidation by the system. Results indicate this novel joint optimization approach is both efficient and scalable},
	address = {Kuala lumpur, Malaysia},
	booktitle = {IEEE International Conference on Communications (ICC 2016)}
}
@conference {
	title = {Joint Optimization for Social Content Delivery in Heterogeneous Wireless Networks},
	author = {Weng, Xiangnan., Baras, John S.},
	year = {2016},
	month = {05/2016},
	abstract = {Over the past decade, success of social networks has significantly reshaped how people consume information. Recommendation of contents based on user profiles is well received. However, as users become dominantly mobile in content consumption, little is done to consider the optimization regarding the wireless environment. In this paper, we investigate a centralized wireless content delivery system with heterogeneous base stations, aiming to optimize overall user rewards given the capacity constraints of the wireless networks. We propose a scalable two-phase scheduling framework, consisting of: 1) distributed delivery decisions by each base station, and 2) resource consolidation by the system. Results indicate this novel joint optimization approach is both efficient and scalable.},
	address = {Tempe, Arizona},
	booktitle = {14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks},
	pages = {pp. 155 - 162}
}
@article {
	title = {Joint Optimization for Social Content Dissemination in Wireless Networks},
	author = {Weng, Xiangnan., Baras, John S.},
	year = {2016},
	month = {09/2016},
	abstract = {Over the last decade, success of social networks has significantly reshaped how information is~disseminated among users in terms of scale, intensity and speed. Much effort, both academic and~industrial, has been dedicated to learning the patterns of content dissemination to further facilitate ~it.~However, as users become dominantly mobile in this process, little is done to consider the impact of the~wireless environment, in particular, how to optimize the system in the presence of capacity shortage to~better disseminate the contents. In this paper, we investigate how the wireless transmission delays degrade~the performance of the content dissemination and propose a novel method to mitigate it. Results indicate~that predictions of dissemination at social layer (even coarse ones) benefit the social dissemination, by~improving scheduling performance at wireless layer. This in turn improves the accuracy of the predictions~with user feedback. We also demonstrate that the system performance is greatly improved by introducing~bias towards active user requests.},
	journal = {IEEE JSAC Special Issue on Human-In-The-Loop Mobile Networks}
}
