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John Boyd
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,Advanced Light Source,Analog-to-digital Converter,Automated Guided Vehicles,Block Error Rate,Cellular Networks,Cloud Radio Access Network,Continuous Wave Mode,Control Plane,Dense Network,Deployment Scenarios,Electron Gun,Extreme Environments,Extreme Ultraviolet,Functional Networks,Generation Wireless Networks,Hardware Accelerators,High Load Condition,High Operational Costs,Increase In Throughput,Independent View,Industrial Internet Of Things,Inefficient Utilization,LSTM-based Model,Light Detection And Ranging,Light Source,
Biography
John Boyd received the B.S. degree in computer science and engineering from the University of California at San Diego, San Diego, CA, USA, in 1994. He is currently the Director of Engineering of Qualcomm Technologies Inc., where he is also a Software Engineer and the Manager of the Wireless Research and Development Group. Having the opportunity to contribute to a diverse range of projects throughout the company during his 27 years of service. His current focus is a machine learning framework that facilitates the development of RAN optimizations.