Technical Program

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