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ORCIDSatya Kumar Vankayala
Person information
- affiliation: Samsung, South Korea
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2020 – today
- 2024
[j2]Karthik Muralidhar
, Youngrok Jang, Younsun Kim, Diwakar Sharma, Hyoungju Ji, Santanu Mondal, Dattaraj Raut Mulgaonkar, Satya Kumar Vankayala, Seongmok Lim:
SRS Interference Management in TDD CJT for 5G. IEEE Access 12: 85836-85858 (2024)- [j1]Ananda Kumar K, A. Krishna Chaitanya, Satya Kumar Vankayala, Seungil Yoon, Ganesh Chandrasekaran, Karthik Muralidhar:
QoS-Based Resource Allocation in Multicarrier NOMA-IBFD Cellular System With Sectorization. IEEE Access 12: 120761-120776 (2024) - [c24]Priya Gupta, Satya Kumar Vankayala, Swaraj Kumar, Manoj Thomas, Srihari Das Sunkada Gopinath, Seungil Yoon:
Secure Full-Duplex Communications via Spatially Correlated RIS Under Electromagnetic Interference. ICC Workshops 2024: 1743-1748 - [c23]Srihari Das Sunkada Gopinath, Aneesh Deshmukh, Nayan Ostwal, Satya Kumar Vankayala, Seungil Yoon:
Improving TCP Performance via Enhanced PDCP Reordering in 5G and Beyond Networks. WCNC 2024: 1-6 - 2023
- [c22]Minakshmi Shaw, Yogesh Kumar Choukiker, Kala Praveen Bagadi, Satya Kumar Vankayala, Seungil Yoon, Agneya Kumar Singh:
Reconfigurable Beam Steering Conformal Array Antenna for 3.5 GHz 5G Applications. GLOBECOM (Workshops) 2023: 1069-1074 - [c21]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
- [c20]Swaraj Kumar, Ashmeet Kaur Chandok, Satya Kumar Vankayala, Issaac Kommineni, Seungil Yoon:
Neural Network Framework for Modulation and Signal Classification. ANTS 2022: 163-168 - [c19]Abhay Kumar Sah, Santosh K. Singh, Satya Kumar Vankayala, S. Parthasarathy, U. Godavarti, SSeungil. Yoon:
Low-cost Beam-combining Architecture for O-RUs in mmWave Massive MIMO based 5G O-RAN System. GLOBECOM (Workshops) 2022: 221-226 - [c18]Satya Kumar Vankayala, Sai Krishna Santosh Gollapudi, Sukhdeep Singh, Bharat Jain, Seungil Yoon, Ali Kashif Bashir:
Deep-Learning Based Proactive Handover for 5G/6G Mobile Networks using Wireless Information. GLOBECOM (Workshops) 2022: 461-466 - [c17]Satya Kumar Vankayala, Kuldeep Sharma, Sai Krishna Santosh Gollapudi, Sukhdeep Singh, Nawab Muhammad Faseeh Qureshi, Seungil Yoon:
Novel Localization Technique for Next Generation Base Stations using Radio maps. GLOBECOM (Workshops) 2022: 783-788 - [c16]Krishna Chaitanya A, Ananda Kumar K, Satya Kumar Vankayala, Seungil Yoon:
Joint Subcarrier and Power Allocation for Multi-Carrier NOMA-IBFD Wireless Communication System. PIMRC 2022: 1000-1005 - [c15]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 - [c14]Satya Kumar Vankayala, Purnima Lala Mehta, Seungil Yoon, Kuldeep Sharma, N. Prashant, Sai Krishna Santosh Gollapudi:
Outdoor Localization of Intelligent Reflecting Surfaces using Radio Maps. VTC Fall 2022: 1-6 - 2021
- [c13]Biswa P. S. Sahoo, Prerit Jain, Dheeraj Kumar, Satya Kumar Vankayala:
Ultra-Dense 5G Network Deployment Strategy: A Reinforcement Learning Approach. ANTS 2021: 1-5 - [c12]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 - [c11]Swaraj Kumar, Satya Kumar Vankayala, Devashish Singh, Ishaan Roy, Biswa P. S. Sahoo, Seungil Yoon, Ignatius Samuel Kanakaraj:
Dynamic Network Slicing using Deep Reinforcement Learning. ANTS 2021: 384-389 - [c10]Swaraj Kumar, Satya Kumar Vankayala, Biswapratap Singh Sahoo, Seungil Yoon:
Continual Learning-Based Channel Estimation for 5G Millimeter-Wave Systems. CCNC 2021: 1-6 - [c9]Bhargava B. C., Ankush Deshmukh, M. Venkata Rupa, Rajendra Prasad Sirigina, Satya Kumar Vankayala, A. V. Narasimhadhan:
Deep Learning Approach for Wireless Signal and Modulation Classification. VTC Fall 2021: 1-6 - [c8]Satya Kumar Vankayala, RaviTeja Gundeti, Konchady Gautam Shenoy, Abhay Kumar Sah, Swaraj Kumar, Seungil Yoon:
A Framework for Exploiting Hard and Soft LLRs for Low Complexity Decoding in VRAN Systems. WCNC 2021: 1-6 - [c7]Satya Kumar Vankayala, Swaraj Kumar, Ishaan Roy, D. Thirumulanathan, Seungil Yoon, Ignatius Samuel Kanakaraj:
Radio Map Estimation Using a Generative Adversarial Network and Related Business Aspects. WPMC 2021: 1-6 - [c6]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 - 2020
- [c5]Satya Kumar Vankayala, Javed Akhtar, Ashok Krishnan K. S., Abhay Kumar Sah:
Accelerated Detection Schemes for PSS in 5G-NR. 5G World Forum 2020: 460-466 - [c4]Sudharsan Parthasarathy, Abhay Kumar Sah, Satya Kumar Vankayala:
Analysis of downlink NOMA in full duplex-half duplex mixed cell PPP system with interference. IEEE ANTS 2020: 1-6 - [c3]Satya Kumar Vankayala, Gaurav Potnis, Konchady Gautam Shenoy, Seungil Yoon, Swaraj Kumar:
A Novel Front-haul Bandwidth Compression Method for RAN Systems. IEEE ANTS 2020: 1-5 - [c2]Satya Kumar Vankayala, Ashok Krishnan K. S., RaviTeja Gundeti, Konchady Gautam Shenoy:
On the Improved Memory Utilization in HARQ Pooling. SPCOM 2020: 1-5 - [c1]Satya Kumar Vankayala, Konchady Gautam Shenoy:
A Neural Network for Estimating CQI in 5G Communication Systems. WCNC Workshops 2020: 1-5
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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