Flexible antenna arrays (FAAs), distinguished by their rotatable, bendable, and foldable
properties, are extensively employed in flexible radio systems to achieve customized …

In this letter, we propose a six-dimensional movable antenna (6DMA)-aided cell-free
massive multiple-input multiple-output (MIMO) system to fully exploit its macro spatial …

The emergence of modern mobile System on Chips (SoCs), featuring robust neural network
accelerators such as GPUs, DSPs, and NPUs, has made on-device inference a compelling …

Facing the exponential demand for massive connectivity and the scarcity of available
resources, next-generation wireless networks have to meet very challenging performance …

Mobile edge computing (MEC) has emerged as a key architecture in the Internet of Things
(IoT) that allows the otherwise power-limited wireless devices (WD) to carry out high …

This study proposes an adaptive experimental design framework for a channel-simulation-
based base station (BS) design that supports the joint optimization of transmission power …

Bayesian optimization (BO) is a popular approach to optimizing costly, black-box functions
that rely on a statistical surrogate model of the function to select new query points, balancing …

Recent advances in many fields ranging from engineering to natural science, require
increasingly complicated optimization tasks in the experiment design, for which the target …