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Vinay Chande
Also published under:
Affiliation
Qualcomm Technologies, Inc., San Diego, USA
Topic
Artificial Neural Network,Key Performance Indicators,User Equipment,3rd Generation Partnership Project,Baseline Schemes,Capacity Planning,Central Unit,Coverage Estimates,Digital Twin,Distributed Unit,Long Short-term Memory,Machine Learning Solutions,Neighboring Cells,Network Capacity,Network Planning,Point Cloud,Potential Use Cases,Radio Access Network,Real-world Deployment,Simulation Accuracy,User Experience,Virtual Network Functions,Wireless Networks,5G Networks,5G New Radio,Analog-to-digital Converter,Automated Guided Vehicles,Block Error Rate,Cellular Networks,Cloud Radio Access Network,Control Plane,Dense Network,Deployment Scenarios,Functional Networks,Generation Wireless Networks,Hardware Accelerators,High Load Condition,Increase In Throughput,Industrial Internet Of Things,Inefficient Utilization,LSTM-based Model,Light Detection And Ranging,Low Interference,Machine Learning Models,Management Services,Mobilization Techniques,Network Operators,Presence Of Interference,Private 5G,Private 5G Networks,
Biography
Vinay Chande received the degree in engineering from Indian Institute of Technology Bombay, Mumbai, and the Ph.D. degree in electrical engineering from the University of Maryland. As a Systems Engineer with the Wireless Research and Development Group, Qualcomm Technologies Inc. His current work allows him to participate in and witness the advances in millimeter-wave radio bands, unlicensed spectrum access, and machine learning for the Industrial IoT.