Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
A Proposed Quantum Classification Algorithm for Symbol Detection with Noisy Observation
S Koya, MR Laskar, AK Dutta - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
Quantum machine learning (QML) and quantum communication (QC) are emerging areas of
research for complexity-efficient data processing, information retrieval, system, and …
research for complexity-efficient data processing, information retrieval, system, and …
Experimental Validation of Zero Padding in SEFDM Systems Using Over-the-Air Transmission
W Ozan, R Grammenos… - 2022 13th International …, 2022 - ieeexplore.ieee.org
Non-orthogonal spectrally efficient frequency division multiplexing (SEFDM) saves
bandwidth by compressing the frequency spacing between the subcarriers. This is at the …
bandwidth by compressing the frequency spacing between the subcarriers. This is at the …
Using zero padding for robust channel Estimation in SEFDM systems
W Ozan, R Grammenos… - 2020 12th International …, 2020 - ieeexplore.ieee.org
In spectrally efficient frequency division multiplexing (SEFDM) systems, the subcarrier
spacing is compressed below the orthogonality limit, to enhance the bandwidth utilisation …
spacing is compressed below the orthogonality limit, to enhance the bandwidth utilisation …