AI-Driven Automation for Telecom Site Plumbing Diagrams: A Cloud Native, Multivendor Framework for Spectrum Utilization and E911 Compliance

The Radio Frequency Data Sheets (RFDS) Automation Platform is a cloud-native, AI-powered system designed to automate the generation of plumbing diagrams and streamline RF engineering documentation in the telecommunications industry [1]. Traditionally, creating Radio Frequency Data Sheets (RFDS) and their corresponding site schematics has required hours of manual effort from RF engineers, increasing the risk of error and inconsistency—especially in large-scale, multivendor deployments. This platform leverages advanced parsing algorithms, a rule-based logic engine, and machine learning to extract data from structured and semi-structured inputs (e.g., Excel, CSV, XML), automatically apply vendor-specific configurations, and render standards aligned plumbing diagrams in real time. The system generates thousands of diagrams within minutes and continuously improves through AI learning from past errors, delivering optimal antenna–radio frequency configurations that maximize spectrum efficiency and ensure E911 compliance. First deployed for ATT, this solution has reduced RF engineers’ manual workload by 60–70 percent, improved documentation accuracy, and significantly accelerated the pace of wireless network rollouts. Designed for extensibility, the platform supports integration with engineering toolchains via APIs and is adaptable to telecom carriers worldwide.

Authors

Institutions

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-06-06
DOI
https://doi.org/10.36948/ijfmr.2025.v07i03.47077
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Driven Automation for Telecom Site Plumbing Diagrams: A Cloud Native, Multivendor Framework for Spectrum Utilization and E911 Compliance

Balaji Chode
International Journal For Multidisciplinary Research
Digital Transformation in Industry
article

AI-Driven Automation for Telecom Site Plumbing Diagrams: A Cloud Native, Multivendor Framework for Spectrum Utilization and E911 Compliance

Balaji Chode
article en

Abstract

The Radio Frequency Data Sheets (RFDS) Automation Platform is a cloud-native, AI-powered system designed to automate the generation of plumbing diagrams and streamline RF engineering documentation in the telecommunications industry [1]. Traditionally, creating Radio Frequency Data Sheets (RFDS) and their corresponding site schematics has required hours of manual effort from RF engineers, increasing the risk of error and inconsistency—especially in large-scale, multivendor deployments. This platform leverages advanced parsing algorithms, a rule-based logic engine, and machine learning to extract data from structured and semi-structured inputs (e.g., Excel, CSV, XML), automatically apply vendor-specific configurations, and render standards aligned plumbing diagrams in real time. The system generates thousands of diagrams within minutes and continuously improves through AI learning from past errors, delivering optimal antenna–radio frequency configurations that maximize spectrum efficiency and ensure E911 compliance. First deployed for ATT, this solution has reduced RF engineers’ manual workload by 60–70 percent, improved documentation accuracy, and significantly accelerated the pace of wireless network rollouts. Designed for extensibility, the platform supports integration with engineering toolchains via APIs and is adaptable to telecom carriers worldwide.

International Journal For Multidisciplinary ResearchVol. 7(3)
Diversified Technologies (United States) (US)
Openalex Percentile: Top 81%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.