---
title: Telecom Network Spectrum Optimization
url: https://www.ml-quant.com/papers/ssrn/4989103/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4989103
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4989103
featured: 2024-10-23
citations: unknown
topic: ML & AI Methods
---


# Telecom Network Spectrum Optimization

The research investigates the application of Artificial Intelligence and Machine Learning, particularly Artificial Neural Networks, in telecommunications for optimizing spectrum management and addressing industry issues like predictive maintenance, virtual assistance, network optimization, fraud prevention, and revenue growth.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4989103
- Identifier: SSRN 4989103
- Released: 2024-10-12
- First featured: Quant Letter No. 71 (2024-10-23): https://www.ml-quant.com/issues/2024-10-23/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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