Anupma Sharma

Orcid: 0000-0002-7315-4292

According to our database1, Anupma Sharma authored at least 12 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
OSTAR-RIS-Assisted Secure and High-Coverage NOMA Transmission for Multi-User VLC Systems.
IEEE Trans. Veh. Technol., March, 2026

2025
CSK Modulation Scheme and DNN-Based Symbol Detection in OSTAR-RIS-Aided VLC Systems.
IEEE Wirel. Commun. Lett., April, 2025

Secrecy Sum-Rate Maximization and Symbol Detection for OSTAR-RIS Assisted VLC System.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

2024
ZA-LMS-based sparse channel estimator in multi-carrier VLC system.
Photonic Netw. Commun., February, 2024

2023
Federated Learning-based Base Station Selection on 3D LiDAR Data for Beyond 5G Communications.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2023

LSTM-based Channel Estimator for Optical IRS-Assisted non-Linear VLC Systems.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2023

2022
ZA-LMS based Sparse Channel Estimator for VLC-OTFS.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

VLMS based Channel Estimator for OTFS VLC System.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

2020
Insights into high mobility group A (HMGA) proteins from Poaceae family: An <i>in silico</i> approach for studying homologs.
Comput. Biol. Chem., 2020

Performance Analysis of OTFS Over Mobile Multipath Channels for Visible Light Communication.
Proceedings of the 2020 IEEE Region 10 Conference, 2020

Performance Analysis of OTFS Over Multipath Channels for Visible Light Communication.
Proceedings of the International Conference on Communications, 2020

2015
Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification.
Neural Networks, 2015


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