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This work presents a new spiking neural network (SNN)-based approach for user equipment-base station (UE-BS) association in non-terrestrial networks (NTNs). With the introduction of UAV's in wireless networks, the system architecture becomes heterog ...
The concept of sustainable development is at the forefront of the global agenda in intensifying the demand for groundbreaking technological advancements that will form sustainable mobile communications, both technologically and societally. This arti ...
This demo presents a digital twin (DT) of an reconfigurable intelligent surface (RIS) wireless system that employs SRL policy optimization for phase adaptation. The demo will demonstrate the efficiency of the spiking reinforcement learning (SRL) aga ...
While the wireless word moves towards higher frequency bands, new challenges arises, due to the inherent characteristics of the transmission links, such as high path and penetration losses. Penetration losses causes blockages that in turn can signif ...
The sixth generation (6G) era aims to push the capabilities of networks towards unprecedented frontiers, while ensuring sustainable design, development, and operation. Motivated by this, this work presents a sustainability-oriented 6G architecture a ...
Security has always been a priority, for researchers, service providers and network operators when it comes to radio access networks (RAN). One wireless access approach that has captured attention is blockchain enabled RAN (B-RAN) due to its secure ...
This paper presents an American sign language (ASL) semantic communications scheme. The scheme consists of a semantic encoder that leverages a convolutional neural network to effectively utilize the ASL alphabet. The encoded information is transmitt ...
This paper focuses on presenting a new deep learning (DL) mobility management approach for reconfigurable intelligent surface (RIS)-empowered millimeter wave wireless system. On the contrary to previously published contributions, we consider a new t ...
Until recently, researchers used machine learning methods to compensate for hardware imperfections at the symbol level, indicating that optimum radio-frequency transceiver performance is possible. Nevertheless, such approaches neglect the error corr ...
Optical wireless communications (OWCs) have been recognized as a candidate enabler of next generation in-body nano-scale networks and implants. The development of an accurate channel model capable of accommodating the particularities of different ty ...