29 citations · 38 across the 11 of their papers we have counts for
4 papers · 1 filter
Proactive Optimization with Machine Learning: Femto-caching with Future Content Popularity
Jiajun Wu, Chengjian Sun, Chenyang Yang
Optimizing resource allocation with predicted information has shown promising gain in boosting network performance and improving user experience. Earlier research efforts focus on…
Model-Free Unsupervised Learning for Optimization Problems with Constraints
Chengjian Sun, Dong Liu, Chenyang Yang
In many optimization problems in wireless communications, the expressions of objective function or constraints are hard or even impossible to derive, which makes the solutions diff…
Unsupervised Deep Learning for Ultra-reliable and Low-latency Communications
Chengjian Sun, Chenyang Yang
In this paper, we study how to solve resource allocation problems in ultra-reliable and low-latency communications by unsupervised deep learning, which often yield functional optim…
Learning to Optimize with Unsupervised Learning: Training Deep Neural Networks for URLLC
Chengjian Sun, Chenyang Yang
Learning the optimized solution as a function of environmental parameters is effective in solving numerical optimization in real time for time-sensitive applications. Existing work…