A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …
generation (6G) mobile communication networks, ultrareliable and low-latency …
[HTML][HTML] Wireless control: Retrospective and open vistas
The convergence of wireless networks and control engineering has been a technological
driver since the beginning of this century. It has significantly contributed to a wide set of …
driver since the beginning of this century. It has significantly contributed to a wide set of …
Federated learning based resource allocation for wireless communication networks
P Behmandpoor, P Patrinos… - 2022 30th European …, 2022 - ieeexplore.ieee.org
In this paper we introduce federated learning (FL) based resource allocation (RA) for
wireless communication networks, where users cooperatively train a RA policy in a …
wireless communication networks, where users cooperatively train a RA policy in a …
Zeroth-order deterministic policy gradient
Deterministic Policy Gradient (DPG) removes a level of randomness from standard
randomized-action Policy Gradient (PG), and demonstrates substantial empirical success for …
randomized-action Policy Gradient (PG), and demonstrates substantial empirical success for …
Zeroth-order asynchronous learning with bounded delays with a use-case in resource allocation in communication networks
Distributed optimization has experienced a significant surge in interest due to its wide-
ranging applications in distributed learning and adaptation. While various scenarios, such …
ranging applications in distributed learning and adaptation. While various scenarios, such …
Model-free decentralized training for deep learning based resource allocation in communication networks
P Behmandpoor, P Patrinos… - 2023 31st European …, 2023 - ieeexplore.ieee.org
Decentralized deep learning (DL) based resource allocation (RA) in communication
networks guarantees scalability and higher communication bandwidth efficiency compared …
networks guarantees scalability and higher communication bandwidth efficiency compared …
Robust and Reliable Stochastic Resource Allocation via Tail Waterfilling
G Yaylali, D Kalogerias - 2023 IEEE 24th International …, 2023 - ieeexplore.ieee.org
Stochastic allocation of resources in the context of wireless systems ultimately demands
reactive decision making for meaningfully optimizing network-wide random utilities, while …
reactive decision making for meaningfully optimizing network-wide random utilities, while …
Learning constrained network slicing policies for industrial applications
The proliferation of private 5G campus networks into industrial domains has increased the
need for network solutions capable of simultaneously meeting a wide range of technical …
need for network solutions capable of simultaneously meeting a wide range of technical …
Learning-based resource allocation with dynamic data rate constraints
P Behmandpoor, P Patrinos… - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we address the problem of resource allocation (RA) in wireless communication
networks, where each user has a dynamic data rate constraint. The objective of RA is to …
networks, where each user has a dynamic data rate constraint. The objective of RA is to …
Model-free learning of optimal deterministic resource allocations in wireless systems via action-space exploration
H Hashmi, DS Kalogerias - 2021 IEEE 31st International …, 2021 - ieeexplore.ieee.org
Wireless systems resource allocation refers to perpetual and challenging nonconvex
constrained optimization tasks, which are especially timely in modern communications and …
constrained optimization tasks, which are especially timely in modern communications and …