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Demands for secure, ubiquitous, and always-available connectivity have been identified as the pillar design parameters of the next generation radio access networks (RANs). Motivated by this, the current contribution introduces a network architecture ...
This paper focuses on providing a theoretical framework for the evaluation of the performance of holographic reconfigurable intelligent surface (HRIS) empowered terahertz (THz) wireless systems under fog conditions. In more detail, we present a comp ...
It is true that medical diagnosis and treatment have always been at the top of research activities. Recently, a very promising area that combines the operation of human body with the principles of wireless communications has arisen and given birth t ...
As the process of envisioning, researching, and strategizing for 6G communications has commenced, we present our vision on the role of semantic communications (SemCom) in the beyond 5G era. In the following discourse, we delve into the factors that ...
Semantic information representation in image-based communication often employs feature vectors, lacking interpretability and posing challenges for human comprehension. This paper addresses this challenge by exploring the reconstruction of original i ...
When fully implemented, sixth generation (6G) wireless systems will constitute intelligent wireless networks that enable not only ubiquitous communication but also high-accuracy localization services. They will be the driving force behind this trans ...
Next generation in-to-out-of body biomedical applications have adopted optical wireless communications (OWCs). However, by delving into the published literature, a gap is recognised in modeling the in-to-out-of channel, since most published contribu ...
This paper introduces the four-parameter symmetric K-distribution (SKD) and the skew-SKD as models for describing the complex dynamics of machine learning, Bayesian analysis and other fields through simplified expressions with high accuracy. Formula ...
Machine learning (ML) empowers biomedical systems with the capability to optimize their performance through modeling of the available data extremely well, without using strong assumptions about the modeled system. Especially in nano-scale biosystems ...
This article discusses the fundamental architectures for optical-wireless-systems for biomedical-applications. After summarizing the main applications and reporting their requirements, we describe the characteristics of the transdermal and in-body o ...