Satya Kumar Vankayala

Affiliations:
  • Samsung, South Korea


According to our database1, Satya Kumar Vankayala authored at least 22 papers between 2020 and 2023.

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

Timeline

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Bibliography

2023
Efficient Deep-Learning Models for Future Blockage and Beam Prediction for mmWave Systems.
Proceedings of the NOMS 2023, 2023

Reconfigurable Beam Steering Conformal Array Antenna for 3.5 GHz 5G Applications.
Proceedings of the IEEE Globecom Workshops 2023, 2023

2022
Outdoor Localization of Intelligent Reflecting Surfaces using Radio Maps.
Proceedings of the 96th Vehicular Technology Conference, 2022

Deep-Learning Based Beam Selection Technique for 6G Millimeter Wave Communication.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Joint Subcarrier and Power Allocation for Multi-Carrier NOMA-IBFD Wireless Communication System.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Novel Localization Technique for Next Generation Base Stations using Radio maps.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Deep-Learning Based Proactive Handover for 5G/6G Mobile Networks using Wireless Information.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Low-cost Beam-combining Architecture for O-RUs in mmWave Massive MIMO based 5G O-RAN System.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Neural Network Framework for Modulation and Signal Classification.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

2021
Neural Network Architecture for LLR Computation in 5G Systems and Related Business Aspects.
Proceedings of the 24th International Symposium on Wireless Personal Multimedia Communications, 2021

Radio Map Estimation Using a Generative Adversarial Network and Related Business Aspects.
Proceedings of the 24th International Symposium on Wireless Personal Multimedia Communications, 2021

A Framework for Exploiting Hard and Soft LLRs for Low Complexity Decoding in VRAN Systems.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Deep Learning Approach for Wireless Signal and Modulation Classification.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Continual Learning-Based Channel Estimation for 5G Millimeter-Wave Systems.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Sparse Dense Neural Network Architecture for Turbo Decoding.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2021

Ultra-Dense 5G Network Deployment Strategy: A Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2021

Dynamic Network Slicing using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2021

2020
A Neural Network for Estimating CQI in 5G Communication Systems.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020

On the Improved Memory Utilization in HARQ Pooling.
Proceedings of the International Conference on Signal Processing and Communications, 2020

A Novel Front-haul Bandwidth Compression Method for RAN Systems.
Proceedings of the 14th IEEE International Conference on Advanced Networks and Telecommunications Systems, 2020

Analysis of downlink NOMA in full duplex-half duplex mixed cell PPP system with interference.
Proceedings of the 14th IEEE International Conference on Advanced Networks and Telecommunications Systems, 2020

Accelerated Detection Schemes for PSS in 5G-NR.
Proceedings of the 3rd IEEE 5G World Forum, 2020


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