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
… We consider power adaptation in a Radio on Free Space Optics (RoFSO) … Ribeiro, “Optimal
WDM power allocation via deep learning for radio on free space optics systems,” in Proc. …

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

Z Gao, M Eisen, A Ribeiro - CoRR, 2020 - researchgate.net
… We consider the average power allocation and/or random relay … the optimal resource
allocation in free space optical networks. … in wavelength-division multiplexing free space optical

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

S Rai, AK Garg - Journal of Optics, 2024 - Springer
power allocation to WDM. In addition to eye safety and … For issues within free space optics
(FSO) networks and … For providing high-speed network arrangement via optimal scheduling …

Power allocation in a spatial multiplexing free-space optical system with reinforcement learning

Y Li, T Geng, R Tian, S Gao - Optics Communications, 2021 - Elsevier
… simultaneously by using wavelength division multiplexing [10], … an optimal power allocation
strategy in the cooperative FSO … network (DQN) was born by adopting a deep neural network

Satellite Communication and Free Space Optics for Open Radio Access Network

CK Yao, HP Lin, CL Cheng, YL Li… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
… , in the fiber optic sensing part, use a machine learning model … To the best of our knowledge,
this paper represents the first … UE), coarse wavelength division multiplexing (CWDM), optical

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
… for resource allocation problems in wireless radio frequency domain [14]… deep neural network
to solve the optimal power allocation for WDM radio on free space optical (RoFSO) systems

Predicting the performance of radio over free space optics system using machine learning techniques

S Kaur, J Kaur, A Sharma - Optik, 2023 - Elsevier
… antenna units employing wavelength division multiplexing (WDM) [1], … has resulted in radio
over free space optics (RoFSO) as an … (NN) model has been employed for the perfect channel …

Cognitive multi-point free space optical communication: Real-time users discovery using unsupervised machine learning

F Aveta, HH Refai, PG Lopresti - IEEE Access, 2020 - ieeexplore.ieee.org
… Introducing self-configuration, self-optimization, and automated … wavelengths, no wavelength
division multiplexing (WDM) was … However, given that a power allocation scheme was not …

[HTML][HTML] Machine learning applications for short reach optical communication

Y Xie, Y Wang, S Kandeepan, K Wang - Photonics, 2022 - mdpi.com
… a optical fronthaul network using ultra dense WDM-PON (UDWDM-PON) combined with
phased array fed (PAF) reflector antenna systems for radio … The Adam optimization algorithm is …

[HTML][HTML] Machine learning techniques in radio-over-fiber systems and networks

J He, J Lee, S Kandeepan, K Wang - Photonics, 2020 - mdpi.com
… the radio-over-fiber (RoF) technology, which combines the best of two worlds: the optical
fiber … Transparent wireless access to optical WDM networks using a novel coherent radio-over-…