| Title | : | Optimization of Quality of Experience in Emerging Wireless Network Protocols and Applications |
| Speaker | : | Dr. Arani Bhattacharyya (IIIT Delhi) |
| Details | : | Fri, 17 Feb, 2023 3:30 PM @ CS15 (tentatively) |
| Abstract: | : | Abstract: Driven by the rise of multimedia applications, modern wireless networks are witnessing a huge rise in demand for data usage. Such a rise in data usage has made it necessary to apply optimization techniques at multiple layers of the network stack. In this talk, I will discuss our optimization techniques used in the context of distributed spectrum monitoring and streaming of 360-degree videos. In the context of distributed spectrum monitoring, we study the problem of optimizing deployment of sensors to localize unauthorized transmissions by fusing the data from cheap crowdsourced spectrum sensors. We address the problem of transmitter detection and localization, specifically considering the case of limited budget for the sensors. We discuss algorithms to reduce the cost of running a crowdsourced spectrum monitoring system and improve the accuracy of transmitter detection and localization. The second part of this talk focuses on 360-degree video streaming. Although 360 degree video streaming is getting increasingly popular on platforms like Youtube and Instagram, it fetches large volumes of data that are challenging to deliver over wireless networks. We discuss how the amount of data fetched can be reduced by predicting the user’s viewing behavior using an LSTM-based deep neural network. We further show how this prediction can be used to obtain the probabilities of viewing each spatial portion of the video, thus allowing us to maximize the user-perceived quality of experience. We end with a discussion of additional possible optimization of quality of experience of 360-degree videos. Bio: Arani Bhattacharya is currently an Assistant Professor with Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi), India. Prior to joining IIIT-Delhi, he received his PhD from SUNY Stony Brook and M.Tech from Indian Statistical Institute, Kolkata both in Computer Science. He is passionate about integrating both model and data-driven techniques into working systems and studying their performance tradeoffs. His research interests include edge computing, video processing on distributed systems and modern wireless communication systems. His works have been published in top-tier venues such as IEEE Infocom, ACM/IEEE IPSN and IEEE/ACM Transactions on Networking. |
