research
∙
04/02/2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
We develop an efficient and near-optimal solution for beamforming in mul...
share
research
∙
11/19/2022
Delay-aware Backpressure Routing Using Graph Neural Networks
We propose a throughput-optimal biased backpressure (BP) algorithm for r...
research
∙
01/27/2022
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks
We develop a novel graph-based trainable framework to maximize the weigh...
research
∙
09/14/2021
ML-aided power allocation for Tactical MIMO
We study the problem of optimal power allocation in single-hop multi-ant...
research
∙
09/12/2021
Link Scheduling using Graph Neural Networks
Efficient scheduling of transmissions is a key problem in wireless netwo...
research
∙
11/18/2020
Distributed Scheduling using Graph Neural Networks
A fundamental problem in the design of wireless networks is to efficient...
research
∙
11/18/2020
Adaptive Contention Window Design using Deep Q-learning
We study the problem of adaptive contention window (CW) design for rando...
research
∙
11/02/2020
Adversarial Examples in Constrained Domains
Machine learning algorithms have been shown to be vulnerable to adversar...
research
∙
02/11/2020
Rapid Top-Down Synthesis of Large-Scale IoT Networks
Advances in optimization and constraint satisfaction techniques, togethe...
research
∙
10/24/2019
Information Flow Optimization in Inference Networks
The problem of maximizing the information flow through a sensor network ...
research
∙
03/14/2019