5 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.SP2024
Multi-Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic
Ahmed Al-Tahmeesschi, Jukka Talvitie, Miguel López-Benítez +2
Millimeter-wave (mmWave) is a key enabler for next-generation transportation systems. However, in an urban city scenario, mmWave is highly susceptible to blockages and shadowing. T…
eess.SP2022★ 5 cited
WHITE PAPER: Protecting GNSS Against Intentional Interference
Arul Elango, Ahmed Al-Tahmeesschi, Mikko Saukkoriipi +2
The vulnerabilities associated with modern systems relying on Global Navigation Satellite Systems (GNSS) due to intentional and unintentional interference is an increasing threat.…