Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond
As the standardization of 5G solidifies, researchers are speculating what 6G will be. The
integration of sensing functionality is emerging as a key feature of the 6G Radio Access …
integration of sensing functionality is emerging as a key feature of the 6G Radio Access …
Distributed learning in wireless networks: Recent progress and future challenges
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …
applications to efficiently analyze various types of data collected by edge devices for …
A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …
Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G
Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …
consensus in both industry and academia for materializing the vision of artificial intelligence …
A survey on over-the-air computation
Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …
effective from the perspective of engineering as isolated optimizations can be performed …
Over-the-air computing for wireless data aggregation in massive IoT
Wireless data aggregation (WDA), referring to aggregating data distributed at devices (eg,
sensors and smartphones), is a common operation in 5G-and-beyond machine-type …
sensors and smartphones), is a common operation in 5G-and-beyond machine-type …
Federated learning via intelligent reflecting surface
Over-the-air computation (AirComp) based federated learning (FL) is capable of achieving
fast model aggregation by exploiting the waveform superposition property of multiple-access …
fast model aggregation by exploiting the waveform superposition property of multiple-access …
Learning rate optimization for federated learning exploiting over-the-air computation
Federated learning (FL) as a promising edge-learning framework can effectively address the
latency and privacy issues by featuring distributed learning at the devices and model …
latency and privacy issues by featuring distributed learning at the devices and model …
Privacy for free: Wireless federated learning via uncoded transmission with adaptive power control
Federated Learning (FL) refers to distributed protocols that avoid direct raw data exchange
among the participating devices while training for a common learning task. This way, FL can …
among the participating devices while training for a common learning task. This way, FL can …
Optimized power control design for over-the-air federated edge learning
Over-the-air federated edge learning (Air-FEEL) has emerged as a communication-efficient
solution to enable distributed machine learning over edge devices by using their data locally …
solution to enable distributed machine learning over edge devices by using their data locally …