A survey on over-the-air computation

A Şahin, R Yang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
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 …

Over-the-air computation for 6G: Foundations, technologies, and applications

Z Wang, Y Zhao, Y Zhou, Y Shi, C Jiang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …

Multiple access in the era of distributed computing and edge intelligence

NG Evgenidis, NA Mitsiou… - Proceedings of the …, 2024 - ieeexplore.ieee.org
This article focuses on the latest research and innovations in fundamental next-generation
multiple access (NGMA) techniques and the coexistence with other key technologies for the …

Over-the-air majority vote computation with modulation on conjugate-reciprocal zeros

A Şahin - IEEE Transactions on Wireless Communications, 2024 - ieeexplore.ieee.org
In this study, we propose a new approach to compute the majority vote (MV) function based
on modulation on conjugate-reciprocal zeros (MOCZ) and introduce three different methods …

Over-the-air computation with imperfect channel state information

Y Chen, G Zhu, J Xu - 2022 IEEE 23rd International Workshop …, 2022 - ieeexplore.ieee.org
This paper investigates the effect of imperfect channel state information (CSI) on the over-the-
air computation (AirComp) system, in which multiple wireless devices (WDs) send individual …

Distributed learning over a wireless network with non-coherent majority vote computation

A Şahin - IEEE Transactions on Wireless Communications, 2023 - ieeexplore.ieee.org
In this study, we propose an over-the-air computation (OAC) scheme to calculate the
majority vote (MV) for federated edge learning (FEEL). With the proposed approach, edge …

[HTML][HTML] Deep reinforcement learning based freshness-aware path planning for UAV-assisted edge computing networks with device mobility

Y Peng, Y Liu, D Li, H Zhang - Remote Sensing, 2022 - mdpi.com
As unmanned aerial vehicles (UAVs) can provide flexible and efficient services concerning
the sparse network distribution, we study a UAV-assisted mobile edge computing (MEC) …

Over-the-air computation based on balanced number systems for federated edge learning

A Şahin - IEEE Transactions on Wireless Communications, 2023 - ieeexplore.ieee.org
In this study, we propose a digital over-the-air computation (OAC) scheme for achieving
continuous-valued (analog) aggregation for federated edge learning (FEEL). We show that …

Over-the-air computing with imperfect CSI: Design and performance optimization

NG Evgenidis, VK Papanikolaou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Over-the-air computing (AirComp) has recently attracted considerable attention as an
efficient method of data fusion by integrating uncoded communication transmissions with …

Secrecy rate degradation of ground-to-air collaborative beamforming due to uav jitter

G Jang, B You, IH Lee, H Jung… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we consider the secure uplink transmissions from ground nodes to an
unmanned aerial vehicle (UAV) receiver through analog collaborative beamforming (ACB) …