Over-the-air computation (AirComp) of a function (eg, averaging) has recently emerged as
an efficient multiple-access scheme for fast aggregation of distributed data at mobile devices …

Recently, over-the-air computation (AirComp) has emerged as an efficient solution for
access points (APs) to aggregate distributed data from many edge devices (eg, sensors) by …

For future Internet-of-Things based Big Data applications, data collection from ubiquitous
smart sensors with limited spectrum bandwidth is very challenging. On the other hand, to …

The future Internet-of-Things network is expected to connect billions of sensors, which incurs
high latency for data aggregation. To overcome this challenge, a new technique called over …

Over-the-air computation (AirComp) has been recognized as a promising technique in
Internet-of-Things (IoT) networks for fast data aggregation from a large number of wireless …

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 …

Energy-efficiency (EE) is a critical metric within wireless optimization. Power control over
fading channels is considered as a promising EE-improving technique, but requires …

This paper develops power control algorithms for energy efficiency (EE) maximization
(measured in bit/Joule) in wireless networks. Unlike previous related works, minimum-rate …

One basic operation of Internet-of-Things (IoT) networks is to acquire a function of distributed
data collected from sensors over wireless channels, called wireless data aggregation …

This work develops a novel power control framework for energy-efficient power control in
wireless networks. The proposed method is a new branch-and-bound procedure based on …