1 citations · 1 across the 4 of their papers we have counts for
6 papers
FedNET: Federated Learning for Proactive Traffic Management and Network Capacity Planning
Saroj Kumar Panda, Basabdatta Palit, Sadananda Behera
We propose FedNET, a proactive and privacy-preserving framework for early identification of high-risk links in large-scale communication networks, that leverages a distributed mult…
Federated Learning for Deforestation Detection: A Distributed Approach with Satellite Imagery
Yuvraj Dutta, Aaditya Sikder, Basabdatta Palit
Accurate identification of deforestation from satellite images is essential in order to understand the geographical situation of an area. This paper introduces a new distributed ap…
Trusted Repeater Placement in QKD-enabled Optical Networks
Arup Kumar Marik, Basabdatta Palit, Sadananda Behera
Quantum Key Distribution (QKD) provides information-theoretic security, but is limited by distance in optical networks, thereby requiring repeater nodes to extend coverage. Existin…
Benchmarking Federated Learning for Throughput Prediction in 5G Live Streaming Applications
Yuvraj Dutta, Soumyajit Chatterjee, Sandip Chakraborty +1
Accurate and adaptive network throughput prediction is essential for latency-sensitive and bandwidth-intensive applications in 5G and emerging 6G networks. However, most existing m…
A Lightweight QoS-Aware Resource Allocation Method for NR-V2X Networks
Chitranshi Saxena, Krishna Pal Thakur, Deb Mukherjee +2
Vehicle-to-Everything (V2X) communication, which includes Vehicle-to-Infrastructure (V2I), Vehicle-to-Vehicle (V2V), and Vehicle-to-Pedestrian (V2P) networks, is gaining significan…
Performance Analysis of Resource Allocation Algorithms for Vehicle Platoons over 5G eV2X Communication
Gulabi Mandal, Anik Roy, Basabdatta Palit
Vehicle platooning is a cooperative driving technology that can be supported by 5G enhanced Vehicle-to-Everything (eV2X) communication to improve road safety, traffic efficiency, a…