Emerging technologies for 6G communication networks: Machine learning approaches
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
Transition technologies towards 6G networks
The sixth generation (6G) mobile systems will create new markets, services, and industries
making possible a plethora of new opportunities and solutions. Commercially successful …
making possible a plethora of new opportunities and solutions. Commercially successful …
Using machine learning algorithms for accurate received optical power prediction of an FSO link over a maritime environment
A Lionis, K Peppas, HE Nistazakis, A Tsigopoulos… - Photonics, 2021 - mdpi.com
The performance prediction of an optical communications link over maritime environments
has been extensively researched over the last two decades. The various atmospheric …
has been extensively researched over the last two decades. The various atmospheric …
[HTML][HTML] Recognizing fractional orbital angular momentum using feed forward neural network
Fractional vortex beam (FVB) possessing helical phase can be applied in the shift-keying
communication due to its fractional orbital angular momentum (FOAM) mode, which …
communication due to its fractional orbital angular momentum (FOAM) mode, which …
Technology Developments, Research Challenges, and Advances for FSO Communication for Space/Aerial/Terrestrial/Underwater (SATU) Links
AK Majumdar - … with Constellation Satellites, UAVs, HAPs and …, 2022 - Springer
This chapter discusses current advanced research relevant to “all-optical” communications
and connectivity and future directions to make the concept of laser satellite constellation for …
and connectivity and future directions to make the concept of laser satellite constellation for …
Experimental machine learning approach for optical turbulence and FSO outage performance modeling
A Lionis, A Sklavounos, A Stassinakis, K Cohn… - Electronics, 2023 - mdpi.com
A laser beam propagating in the free space suffers numerous degradation effects. In the
context of free space optical communications (FSOCs), this results in reduced availability of …
context of free space optical communications (FSOCs), this results in reduced availability of …
Spatial mode correction of single photons using machine learning
Spatial modes of light constitute valuable resources for a variety of quantum technologies
ranging from quantum communication and quantum imaging to remote sensing …
ranging from quantum communication and quantum imaging to remote sensing …
Data-centric machine learning in quantum information science
We propose a series of data-centric heuristics for improving the performance of machine
learning systems when applied to problems in quantum information science. In particular …
learning systems when applied to problems in quantum information science. In particular …
Experimental recognition of vortex beams in oceanic turbulence combining the Gerchberg–Saxton algorithm and convolutional neural network
WQ Fan, FL Gao, FC Xue, JJ Guo, Y Xiao, YJ Gu - Applied Optics, 2024 - opg.optica.org
In underwater wireless optical communication (UWOC), vortex beams carrying orbital
angular momentum (OAM) can improve channel capacity but are vulnerable to oceanic …
angular momentum (OAM) can improve channel capacity but are vulnerable to oceanic …
Robust neural network-assisted conjugate orbital angular momentum mode demodulation for modulation communication
Orbital angular momentum shift-keying (OAM-SK), which enables modulation of digital
signals by rapidly switching OAM modes, is promising in improving the modulation ability …
signals by rapidly switching OAM modes, is promising in improving the modulation ability …