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10/28/2022
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks
We consider a radio resource management (RRM) problem in a multi-user wi...
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07/05/2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks
We consider resource management problems in multi-user wireless networks...
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03/07/2022
Learning Resilient Radio Resource Management Policies with Graph Neural Networks
We consider the problems of downlink user selection and power control in...
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11/05/2020
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks
We consider optimal resource allocation problems under asynchronous wire...
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07/27/2020
Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks
This paper investigates the general problem of resource allocation for m...
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06/26/2020
Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks
This paper investigates the optimal resource allocation in free space op...
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02/17/2020
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
We consider the problem of downlink power control in wireless networks, ...
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11/10/2019
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems
Learning optimal resource allocation policies in wireless systems can be...
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10/30/2019
Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks
We consider the problem of allocating 5G radio resources over wireless c...
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06/21/2019
Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems
Radio on Free Space Optics (RoFSO), as a universal platform for heteroge...
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07/21/2018
Learning Optimal Resource Allocations in Wireless Systems
This paper considers the design of optimal resource allocation policies ...
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05/22/2017
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method
We consider large scale empirical risk minimization (ERM) problems, wher...
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10/18/2016