Optical communication infrastructure in new generation mobile networks

M Yücel, M Açikgöz - Fiber and Integrated Optics, 2023 - Taylor & Francis
In this study, predictions by leading network technology companies and current literature on
5 G technologies have been investigated to shed a light on the foreseeable future of the …

Drl-based deadline-driven advance reservation allocation in eons for cloud–edge computing

R Zhu, G Li, P Wang, M Xu, S Yu - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The ongoing roll-out of cloud–edge computing and Internet of Things (IoT) has been
simulating the boom of new advance reservation (AR) services, such as bulk-data migration …

Deep learning—a route to WDM high-speed optical networks

S Rai, AK Garg - Journal of Optics, 2024 - Springer
The evolution of Internet and communication systems is exponentially increasing the
complexity in communication networks. This paved the way for the incorporation of artificial …

Resource allocation via graph neural networks in free space optical fronthaul networks

Z Gao, M Eisen, A Ribeiro - GLOBECOM 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
This paper investigates the optimal resource allocation in free space optical (FSO) fronthaul
networks. The optimal allocation maximizes an average weighted sum-capacity subject to …

Optimum power allocation based on channel conditions in optical satellite downlinks

TT Kapsis, AD Panagopoulos - Wireless Personal Communications, 2021 - Springer
The integration of optical satellite links in the next-generation networks and in the fifth
generation cellular systems has been proposed in order to guarantee the handling of the …

Resource allocation via model-free deep learning in free space optical communications

Z Gao, M Eisen, A Ribeiro - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper investigates the general problem of resource allocation for mitigating channel
fading effects in Free Space Optical (FSO) communications. The resource allocation …

Co-Optimization of Environment and Policies for Decentralized Multi-Agent Navigation

Z Gao, G Yang, A Prorok - arXiv preprint arXiv:2403.14583, 2024 - arxiv.org
This work views the multi-agent system and its surrounding environment as a co-evolving
system, where the behavior of one affects the other. The goal is to take both agent actions …

Deep Reinforcement Learning Module for Power Allocation in Optical Satellite Networks

TT Kapsis, NK Lyras… - … on Electronics & …, 2024 - ieeexplore.ieee.org
Optical satellite links and networks are currently being deployed by various space agencies
and the industry for space, deep-space applications and intersatellite links. In this paper, a …

[PDF][PDF] Resource Allocation Via Model-Free Deep Learning in Free Space Optical Networks

Z Gao, M Eisen, A Ribeiro - CoRR, 2020 - researchgate.net
This paper investigates the general problem of resource allocation for mitigating channel
fading effects in Free Space Optical (FSO) networks. The resource allocation problem is …