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 …

The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …

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 …

In this study, a digital over-the-air computation (OAC) scheme for achieving continuous-
valued gradient aggregation is proposed. It is shown that the average of a set of real-valued …

Over-the-air computation (AirComp) is a well-known technique by which several wireless
devices transmit by analog amplitude modulation to achieve a sum of their transmit signals …

Over-the-air computation (AirComp) is a known technique in which wireless devices transmit
values by analog amplitude modulation so that a function of these values is computed over …

In this paper, we propose a framework where over-the-air computation (OAC) occurs in both
uplink (UL) and downlink (DL), sequentially, in a multi-cell environment to address the …

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 …

In this study, we propose an over-the-air computation (OAC) scheme based on chirps to
detect the majority votes (MVs) in a wireless network for federated edge learning (FEEL) and …

In this study, we propose a general-purpose synchronization method that allows a set of
software-defined radios (SDRs) to transmit or receive any in-phase/quadrature data with …