DLW-L.3: Deep-Learning-Based Network Optimization for Wireless Communications |
Symposium: Design, Implementation and Optimization of Deep Learning for Wireless Communications |
Session Type: Lecture |
Time: Thursday, November 29, 15:50 - 17:20 |
Location: Monorail |
Session Chair: Yingjie Lao, Clemson University |
15:50 - 16:08 |
DLW-L.3.1: DATA-DRIVEN PREDICTION OF CELLULAR NETWORKS COVERAGE: AN INTERPRETABLE MACHINE-LEARNING MODEL |
Amir Ghasemi; Communications Research Centre Canada |
16:08 - 16:26 |
DLW-L.3.2: JOINT CONTENT POPULARITY PREDICTION AND CONTENT DELIVERY POLICY FOR CACHE-ENABLED D2D NETWORKS: A DEEP REINFORCEMENT LEARNING APPROACH |
Jiaying Yin; Northwestern Polytechnical University |
Lixin Li; Northwestern Polytechnical University |
Yang Xu; Northwestern Polytechnical University |
Wei Liang; Northwestern Polytechnical University |
Huisheng Zhang; Northwestern Polytechnical University |
Zhu Han; University of Houston |
16:26 - 16:44 |
DLW-L.3.3: SCALABLE NETWORK ADAPTATION FOR CLOUD-RANS: AN IMITATION LEARNING APPROACH |
Yifei Shen; The Hong Kong University of Science and Technology |
Yuanming Shi; ShanghaiTech University |
Jun Zhang; The Hong Kong University of Science and Technology |
Khaled B. Letaief; The Hong Kong University of Science and Technology |
16:44 - 17:02 |
DLW-L.3.4: DEEP JOINT DEMOSAICING AND SUPER RESOLUTION ON HIGH RESOLUTION BAYER SENSOR DATA |
Junkang Zhang; University of California, San Diego |
Cheolhong An; University of California, San Diego |
Truong Nguyen; University of California, San Diego |
17:02 - 17:20 |
DLW-L.3.5: THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK BASED TRAFFIC CLASSIFICATION FOR WIRELESS COMMUNICATIONS |
Jing Ran; Beijing University of Posts and Telecommunications |
Yexin Chen; Beijing University of Posts and Telecommunications |
Shulan Li; Beijing University of Posts and Telecommunications |