Over the last 10+ years, Reggie has written on topics that intersect data science and network architecture. These white papers are published annually in the company technical journal or in external publications.
Published externally, Reggie was the primary author and contributor to this study that assesses the performance impact that voice over LTE (VoLTE) may have on data users. The study demonstrates a unique cross section of network architecture knowledge in 4G/5G and data science skills (R, simulation, monte carlo analysis, data visualization). Read the complete white paper here.
Applications of Artificial Neural Networks in Network Planning and Management, Supervised Learning
Published in the company's technical journal, this paper applies artificial neural networks to address challenges with modeling and forecasting capacity requirements in 5G radio networks. This work applies Tensor Flow, R Studio, SQL, data visualization. It also demonstrates deep knowledge of 5G radio network architecture and planning requirements.
Published in the company's technical journal, the work in this paper redefined how capacity planning was done at the time. The primary driver of this work was to align engineering and analytics methodologies to the drivers of the business planning inputs that define the company strategy. This work crossed many domains, touched many teams that even required Reggie to record training videos to train teams across the enterprise on this topic.
Other titles published in the annual company technical journal include:
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"RAN Pooling, Evolution towards Future RAN Architecture"
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"Novel Approach to a Forecastable 4G and 5G RAN Capacity Strategy using M/G/1 Queueing Model"
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"The Evolving Role of Radio Resource Partitioning in Managing User Experience Across Radio Access Networks"
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"Radio Access Network Capacity Impacts and Considerations for Deploying Fixed Wireless Devices"
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"Transport Dimensioning Methodologies to Support User Experience Goals"
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"Concepts and Considerations for Designing and Dimensioning a Centralized Radio Access Network"
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"Downlink Multiple-User MIMO Performance Based on Mid-Band Trial and Simulation"