141 citations · 270 across the 20 of their papers we have counts for
4 papers · 1 filter
Multi-Tier Hierarchical Federated Learning-assisted NTN for Intelligent IoT Services
Amin Farajzadeh, Animesh Yadav, Halim Yanikomeroglu
In the ever-expanding landscape of the IoT, managing the intricate network of interconnected devices presents a fundamental challenge. This leads us to ask: "What if we invite the…
FLSTRA: Federated Learning in Stratosphere
Amin Farajzadeh, Animesh Yadav, Omid Abbasi +2
We propose a federated learning (FL) in stratosphere (FLSTRA) system, where a high altitude platform station (HAPS) facilitates a large number of terrestrial clients to collaborati…
HAPS for 6G Networks: Potential Use Cases, Open Challenges, and Possible Solutions
Omid Abbasi, Animesh Yadav, Halim Yanikomeroglu +3
High altitude platform station (HAPS), which is deployed in the stratosphere at an altitude of 20-50 kilometres, has attracted much attention in recent years due to their large foo…
Cooperation in 5G HetNets: Advanced Spectrum Access and D2D Assisted Communications
Georgios I. Tsiropoulos, Animesh Yadav, Ming Zeng +1
The evolution of conventional wireless communication networks to the fifth generation (5G) is driven by an explosive increase in the number of wireless mobile devices and services,…