7 papers
6G: Connectivity in the Era of Distributed Intelligence
Shilpa Talwar, Nageen Himayat, Hosein Nikopour +3
The confluence of 5G and AI is transforming wireless networks to deliver diverse services at the Edge, driving towards a vision of pervasive distributed intelligence. Future 6G net…
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz +4
Federated learning enables training a global model from data located at the client nodes, without data sharing and moving client data to a centralized server. Performance of federa…
Handling Spontaneous Traffic Variations in 5G+ via Offloading onto mmWave-Capable UAV `Bridges'
Nikita Tafintsev, Dmitri Moltchanov, Sergey Andreev +4
Unmanned aerial vehicles (UAVs) are increasingly employed for numerous public and civil applications, such as goods delivery, medicine, surveillance, and telecommunications. For th…
Coded Federated Learning
Sagar Dhakal, Saurav Prakash, Yair Yona +2
Federated learning is a method of training a global model from decentralized data distributed across client devices. Here, model parameters are computed locally by each client devi…
Aerial Access and Backhaul in mmWave B5G Systems: Performance Dynamics and Optimization
Nikita Tafintsev, Dmitri Moltchanov, Mikhail Gerasimenko +7
The use of unmanned aerial vehicle (UAV)-based communication in millimeter-wave (mmWave) frequencies to provide on-demand radio access is a promising approach to improve capacity a…
Analysis of Human-Body Blockage in Urban Millimeter-Wave Cellular Communications
Margarita Gapeyenko, Andrey Samuylov, Mikhail Gerasimenko +7
The use of extremely high frequency (EHF) or millimeter-wave (mmWave) band has attracted significant attention for the next generation wireless access networks. As demonstrated by…