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2020 – today
- 2024
[c9]Swaraj Kumar, Shreyanshu Agarwal, Vasanth Kanakaraj, P. Keerthi Priya, Issaac Kommineni:
Cognitive RAN-Aware Transport Layer for NR-V2X Communications in 5G and Beyond Networks. VTC Fall 2024: 1-7- 2023
- [c8]Shreyanshu Agarwal
, Vasanth Kanakaraj, Sukhdeep Singh, Jay Dilipbhai Rathod, Issaac Kommineni:
Federated Learning based Flow Aware AQM for 5G Networks and Beyond. GLOBECOM (Workshops) 2023: 1639-1643 - [c7]Satya Kumar Vankayala, Sai Krishna Santosh Gollapudi, Bharat Jain, Seungil Yoon, K. Mihir, Swaraj Kumar, H. U. Sudheer Kumar, Issaac Kommineni:
Efficient Deep-Learning Models for Future Blockage and Beam Prediction for mmWave Systems. NOMS 2023: 1-8 - 2022
- [c6]Swaraj Kumar, Ashmeet Kaur Chandok, Satya Kumar Vankayala, Issaac Kommineni, Seungil Yoon:
Neural Network Framework for Modulation and Signal Classification. ANTS 2022: 163-168 - [c5]Vasanth Kanakaraj, Shreyanshu Agarwal, P. Keerthi Priya, Vishal Murgai, Issaac Kommineni:
ML Assisted Feedback Mechanism for TCP Congestion Control in Next Generation Wireless Networks. ANTS 2022: 470-475 - [c4]Swaraj Kumar, Vishal Murgai, Devashish Singh, Issaac Kommineni:
Recurrent Neural Network Architecture for Communication Log Analysis. PIMRC 2022: 503-508 - [c3]Satya Kumar Vankayala, Swaraj Kumar, Thirumulanathan D, Anmol Mathur, Seungil Yoon, Issaac Kommineni:
Deep-Learning Based Beam Selection Technique for 6G Millimeter Wave Communication. PIMRC 2022: 1380-1385 - 2021
- [c2]Satya Kumar Vankayala, Swaraj Kumar, D. Thirumulanathan, Seungil Yoon, Issaac Kommineni, V. S. Ch Lakshmi Narayana:
Sparse Dense Neural Network Architecture for Turbo Decoding. ANTS 2021: 1-6 - [c1]Satya Kumar Vankayala, Swaraj Kumar, Konchady Gautam Shenoy, D. Thirumulanathan, Seungil Yoon, Issaac Kommineni:
Neural Network Architecture for LLR Computation in 5G Systems and Related Business Aspects. WPMC 2021: 1-6
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last updated on 2024-12-10 20:45 CET by the dblp team
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