Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Eisen, Mark"'
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands
Deep learning (DL) based resource allocation (RA) has recently gained significant attention due to its performance efficiency. However, most related studies assume an ideal case where the number of users and their utility demands, e.g., data rate con
Externí odkaz:
http://arxiv.org/abs/2311.04600
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 ergodic average performance of users. We propose a state-augmented par
Externí odkaz:
http://arxiv.org/abs/2210.16412
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 average performance of users across the network. We propose a state-aug
Externí odkaz:
http://arxiv.org/abs/2207.02242
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 devices (UEs) over a shared wireless medium. To achieve a high aggreg
Externí odkaz:
http://arxiv.org/abs/2203.11012
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 computing capabilities. The wireless control system model supports the offload
Externí odkaz:
http://arxiv.org/abs/2202.03976
Modern control systems routinely employ wireless networks to exchange information between spatially distributed plants, actuators and sensors. With wireless networks defined by random, rapidly changing transmission conditions that challenge assumptio
Externí odkaz:
http://arxiv.org/abs/2201.09859
We consider the problem of resource allocation in large scale wireless networks. When contextualizing wireless network structures as graphs, we can model the limits of very large wireless systems as manifolds. To solve the problem in the machine lear
Externí odkaz:
http://arxiv.org/abs/2110.04706
We consider the broad class of decentralized optimal resource allocation problems in wireless networks, which can be formulated as a constrained statistical learning problems with a localized information structure. We develop the use of Aggregation G
Externí odkaz:
http://arxiv.org/abs/2107.01489
We consider optimal resource allocation problems under asynchronous wireless network setting. Without explicit model knowledge, we design an unsupervised learning method based on Aggregation Graph Neural Networks (Agg-GNNs). Depending on the localize
Externí odkaz:
http://arxiv.org/abs/2011.02644
Publikováno v:
Signal Processing, Volume 197, 2022, 108540
Wireless control systems replace traditional wired communication with wireless networks to exchange information between actuators, plants and sensors in a control system. The noise in wireless channels renders ideal control policies suboptimal, and t
Externí odkaz:
http://arxiv.org/abs/2009.01751