Swaraj Kumar

According to our database, Swaraj Kumar authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Cognitive RAN-Aware Transport Layer for NR-V2X Communications in 5G and Beyond Networks.

Swaraj Kumar, Shreyanshu Agarwal, Vasanth Kanakaraj, P. Keerthi Priya, Issaac Kommineni

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Sparse Recurrent Neural Network Architecture for Turbo Decoding in NextGen Communication Systems.

Madhan Raj Kanagarathinam, Swaraj Kumar, Krishna M. Sivalingam, Richa Gaba

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

CSI Feedback Prediction Using UE Aware Sparse Neural Network Framework.

Sukhdeep Singh, Swaraj Kumar, Rahul Kumar Saha, Shreyanshu Agarwal, Ashmeet Kaur

Proceedings of the IEEE International Conference on Communications Workshops, 2024

SMASH: Supervised ML-Based Adaptive Selection of HTTP Protocols.

Swaraj Kumar, Madhan Raj Kanagarathinam, Arun Padmanabh Bhagavath, Rahul Kumar Saha, Vasanth Kanakaraj

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Secure Full-Duplex Communications via Spatially Correlated RIS Under Electromagnetic Interference.

Priya Gupta, Satya Kumar Vankayala, Swaraj Kumar, Manoj Thomas, Srihari Das Sunkada Gopinath, Seungil Yoon

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Energy-Efficient Low-Complexity Power Management in Multi-Core RAN Systems.

Srihari Das Sunkada Gopinath, Swaraj Kumar, Vishal Murgai

Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023

Federated Learning Framework for Dynamic Power Management in RAN Data Plane Systems.

Vishal Murgai, Srihari Das Sunkada Gopinath, Swaraj Kumar

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Efficient Deep-Learning Models for Future Blockage and Beam Prediction for mmWave Systems.

Satya Kumar Vankayala, Sai Krishna Santosh Gollapudi, Bharat Jain, Seungil Yoon, K. Mihir, Swaraj Kumar, H. U. Sudheer Kumar, Issaac Kommineni

Proceedings of the NOMS 2023, 2023

Light Weight AI: Representing ML Inference as Efficient Mathematical Relations for Embedded RAN Devices.

Swaraj Kumar, Vishal Murgai, Sukhdeep Singh

Proceedings of the IEEE Global Communications Conference, 2023

Non-Deterministic and Semi-Supervised Log-based Anomaly Detection.

Swaraj Kumar, Vishal Murgai, Zarka Bashir, Sukhdeep Singh

Proceedings of the IEEE Globecom Workshops 2023, 2023

Cloud RAN Based Privacy Preserving Federated Cross Domain Anomaly Detection in IoT Devices Logs.

Zarka Bashir, Swaraj Kumar, Vishal Murgai, Sukhdeep Singh

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

Deep-Learning Based Beam Selection Technique for 6G Millimeter Wave Communication.

Satya Kumar Vankayala, Swaraj Kumar, Thirumulanathan D, Anmol Mathur, Seungil Yoon, Issaac Kommineni

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Recurrent Neural Network Architecture for Communication Log Analysis.

Swaraj Kumar, Vishal Murgai, Devashish Singh, Issaac Kommineni

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Call Mute Reduction by Reinforcement Learning Based Deployment of ROHC in Next Generation Networks.

Veerabhadrappa M. Gadag, Swaraj Kumar, Vishal Murgai, Siva Kumar Mummadi

Proceedings of the IEEE Globecom 2022 Workshops, 2022

Neural Network Framework for Modulation and Signal Classification.

Swaraj Kumar, Ashmeet Kaur Chandok, Satya Kumar Vankayala, Issaac Kommineni, Seungil Yoon

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.

Satya Kumar Vankayala, Swaraj Kumar, Konchady Gautam Shenoy, D. Thirumulanathan, Seungil Yoon, Issaac Kommineni

Proceedings of the 24th International Symposium on Wireless Personal Multimedia Communications, 2021

Radio Map Estimation Using a Generative Adversarial Network and Related Business Aspects.

Satya Kumar Vankayala, Swaraj Kumar, Ishaan Roy, D. Thirumulanathan, Seungil Yoon, Ignatius Samuel Kanakaraj

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.

Satya Kumar Vankayala, RaviTeja Gundeti, Konchady Gautam Shenoy, Abhay Kumar Sah, Swaraj Kumar, Seungil Yoon

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Continual Learning-Based Channel Estimation for 5G Millimeter-Wave Systems.

Swaraj Kumar, Satya Kumar Vankayala, Biswapratap Singh Sahoo, Seungil Yoon

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Sparse Dense Neural Network Architecture for Turbo Decoding.

Satya Kumar Vankayala, Swaraj Kumar, D. Thirumulanathan, Seungil Yoon, Issaac Kommineni, V. S. Ch Lakshmi Narayana

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2021

Dynamic Network Slicing using Deep Reinforcement Learning.

Swaraj Kumar, Satya Kumar Vankayala, Devashish Singh, Ishaan Roy, Biswa P. S. Sahoo, Seungil Yoon, Ignatius Samuel Kanakaraj

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2021

2020

Strategies for Enhancing Training and Privacy in Blockchain Enabled Federated Learning.

Swaraj Kumar, Sandipan Dutta, Shaurya Chaturvedi, M. P. S. Bhatia

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

A Novel Front-haul Bandwidth Compression Method for RAN Systems.

Satya Kumar Vankayala, Gaurav Potnis, Konchady Gautam Shenoy, Seungil Yoon, Swaraj Kumar

Proceedings of the 14th IEEE International Conference on Advanced Networks and Telecommunications Systems, 2020

2019

Understanding Language Dependency on Emotional Speech using Siamese Network.

Swaraj Kumar, Shaurya Chaturvedi, Sandipan Dutta

Proceedings of the International Joint Conference on Neural Networks, 2019

SkiDNet: Skip Image Denoising Network for X-Rays.

Sandipan Dutta, Shaurya Chaturvedi, Swaraj Kumar, M. P. S. Bhatia

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

An Evolutionary Learning Approach to Play Othello Using XCS.

Satvik Jain, Siddharth Verma, Swaraj Kumar, Swati Aggarwal

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018