Thesis

A significant portion of the computational burden in most neural networks arises from constant matrix-vector multiplications (CMVMs). To address this challenge, linear computation coding (LCC) has emerged as a promising approach for approximating CMVMs in large matrices, while also facilitating a ha...

Cell-free massive MIMO (CF-MaMIMO) is a promising network architecture for energy efficient sixth generation (6G) wireless communication systems with uniform quality-of-service coverage and high data rates. It combines the benefits of distributed antenna systems (DAS) with those of centralized MaMIM...

The advent of sixth-generation (6G) wireless communication technology promises significant advancements, with unmanned aerial vehicles (UAVs) emerging as one of its key technologies. UAVs offer the capability to enhance coverage and bridge connectivity gaps in underserved regions, establishing line-...

Free space optical (FSO) systems, due to their large bandwidth and secure and cost-efficient data transmission, are considered as suitable candidates for next generation wireless communication networks and beyond. However, they require a line-of-sight (LOS) connection between transmitter (Tx) and re...

Recent advances in the drone industry have led to increased interest in using unmanned aerial vehicles (UAVs) for wireless communication purposes. However, limited power remains the big issue, as in such missions, endurance is of paramount importance. In this context, free-space optics (FSO) seems to not only offer a way to transfer high data rates but also a key technology to provide energy to flying platforms.