Imperial College London > Talks@ee.imperial > Featured talks > Coded Content Caching and Delivery over Wireless Networks
Log inImperial users Other users No account?Information onFinding a talk Adding a talk Syndicating talks Who we are Everything else |
Coded Content Caching and Delivery over Wireless NetworksAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Joan P O'Brien. Wireless data traffic is predicted to continue its exponential growth in the coming years, driven by the proliferation of mobile devices with increased processing and display capabilities, and the explosion of available online content. Coded caching is a novel form of content caching for wireless networks to relieve the congestion during peak-traffic periods by exploiting the temporal variability of wireless traffic. During the off-peak traffic periods, popular contents are partially placed into users’ local caches without the knowledge of user demands, and the rest of the contents are transmitted when the demands are revealed during the peak traffic periods. Compared to traditional caching, a significant reduction in the delivery rate is achieved due to coded multicasting opportunities created by the joint design of the placement and delivery phases even when users request distinct contents. This talk aims at exploring the fundamental limits of caching under different network models, where the coded caching is shown to significantly outperform the uncoded counterpart in all considered scenarios. This is a PhD Graduation Talk Bio: Qianqian Yang received the B.S. degree in automation from Chongqing University in 2011, and the M.S. degree in control engineering from Zhejiang University in 2014. She is a Ph.D. candidate with the Information Processing and Communication Lab, Imperial College London. In 2016, she was a research visitor with Centrale Supelec, working on the information bottleneck problem, and in 2017 she visited New York University Tandon School of Engineering, working on coded caching of correlated contents. Her research interests include network caching, information theory, machine learning and image processing. This talk is part of the Featured talks series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsWind Farms talks@ee.imperial AI- and HCI-related talksOther talksOperator Splitting Methods and Software for Convex Optimisation |