1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.NI2022★ 1 cited
A canonical correlation-based framework for performance analysis of radio access networks
Furqan Ahmed, Muhammad Zeeshan Asghar, Jyri Hämäläinen
Data driven optimization and machine learning based performance diagnostics of radio access networks entails significant challenges arising not only from the nature of underlying d…
cs.NI2021
Quantum Computing for Artificial Intelligence Based Mobile Network Optimization
Furqan Ahmed, Petri Mähönen
In this paper, we discuss how certain radio access network optimization problems can be modelled using the concept of constraint satisfaction problems in artificial intelligence, a…
cs.NI2020★ 1 cited
Big Data-driven Automated Anomaly Detection and Performance Forecasting in Mobile Networks
Jessica Moysen, Furqan Ahmed, Mario García-Lozano +1
The massive amount of data available in operational mobile networks offers an invaluable opportunity for operators to detect and analyze possible anomalies and predict network perf…