337 citations · 1.1k across the 27 of their papers we have counts for
29 papers
Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression
Yigit Berkay Uslu, Navid NaderiAlizadeh, Mark Eisen +1
We consider resource allocation problems in multi-user wireless networks, where the goal is to optimize a network-wide utility function subject to constraints on the ergodic averag…
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks
Yiğit Berkay Uslu, Navid NaderiAlizadeh, Mark Eisen +1
We consider a radio resource management (RRM) problem in a multi-user wireless network, where the goal is to optimize a network-wide utility function subject to constraints on the…
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks
Navid NaderiAlizadeh, Mark Eisen, Alejandro Ribeiro
We consider resource management problems in multi-user wireless networks, which can be cast as optimizing a network-wide utility function, subject to constraints on the long-term a…
Learning Resilient Radio Resource Management Policies with Graph Neural Networks
Navid NaderiAlizadeh, Mark Eisen, Alejandro Ribeiro
We consider the problems of user selection and power control in wireless interference networks, comprising multiple access points (APs) communicating with a group of user equipment…
Communication-Control Co-design in Wireless Edge Industrial Systems
Mark Eisen, Santosh Shukla, Dave Cavalcanti +1
We consider the problem of controlling a series of industrial systems, such as industrial robotics, in a factory environment over a shared wireless channel leveraging edge computin…
Large-Scale Graph Reinforcement Learning in Wireless Control Systems
Vinicius Lima, Mark Eisen, Konstantinos Gatsis +1
Modern control systems routinely employ wireless networks to exchange information between spatially distributed plants, actuators and sensors. With wireless networks defined by ran…