Ricerc@Sapienza

With the development of 5th generation (5G) networks the operating frequencies have been progressively expanding towards millimeter waves (MMW). In some exposure scenarii, presence of textiles impacts the interaction of the electromagnetic field radiated by wireless devices with human tissues. We investigate the impact of a textile layer in contact or in proximity of skin on the power transmission coefficient, absorbed power density and temperature rise using a near-surface tissue model at 26GHz and 60 GHz. Cotton and wool are considered as representative textiles.

With the development of 5th generation (5G) mobile networks people of different ages will be exposed in the upper part of the microwave spectrum. From the perspective of non-ionizing radiation dosimetry, an accurate analysis of age-dependent electromagnetic power deposition and resulting heating is required. In this study, we evaluate the effect of age on exposure at 26 GHz and 60 GHz. A near-surface tissue model illuminated by a plane wave is used to asses the exposure considering both frequency-independent and frequency-dependent limits.

We focus on the problem of designing a 5G network architecture to provide coverage in rural areas. The proposed architecture is composed of 5G Base Stations carried by Unmanned Aerial Vehicles (UAVs), and supported by ground sites interconnected through optical fiber links. We also consider the dimensioning of each site in terms of the number of Solar Panels (SPs) and batteries.

Visible light communication (VLC) is a promising candidate to face the bandwidth limitation problems of traditional radio communication system. The use of a light emitting diode (LED), directly modulated, as a transmitter of the wireless telecommunication link permits the installation of VLC-based systems in practically all human-attended settings (home, office, markets). However, a drawback of VLC systems remains the receiver side, due to the lack of photovoltaic devices for this specific application.

ABSTRACTBackground:Surgery and technological innovation have begun to move at the speed of light, with innovations and discoveries such as virtual reality, robotic systems, navigation surgery, and 5G networks radically revolutionizing the surgical world as well as the medical world in general, bringing significant benefits for healthcare professionals and patients alike. Technology will increasingly be a crucial element in surgical and medical development. This new therapeutic approach aims to enhance human–computer interaction by putting a new “patient” figure at its center.

This paper presents a control solution for the optimal network selection problem in 5G heterogeneous networks. The control logic proposed is based on multi-agent Friend-or-Foe Q-Learning, allowing the design of a distributed control architecture that sees the various access points compete for the allocation of the connection requests. Numerical simulations validate conceptually the approach, developed in the scope of the EU-Korea project 5G-ALLSTAR

Sixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio access capability and unlock the support of on-demand edge cloud services in three-dimensional (3D) space, by incorporating mobile edge computing (MEC) functionalities on aerial platforms and low-orbit satellites. This will extend the MEC support to devices and network elements in the sky and forge a space-borne MEC, enabling intelligent, personalized, and distributed on-demand services.

Visible Light Communication technology has the potential to become a leading actor in the future 5G network, thanks to features such as efficient “re-use of re-sources”, native privacy security and human safeness (compared to radio-frequency applications).

Cloud Radio Access Network (C-RAN) or centralized RAN could be seen as a promising solution to deal the 5G requirements. Traditional C-RANs are organized as a three-element network, that contains Base Band Unit (BBU) pool, Radio Radio Remote Unit (RRU) and the network interconnecting BBUs and RRUs called fronthaul. The BBU provides baseband signal processing functions and the RRU provides Radio Frequency signal transmission and reception functions.

LTE-Advanced networks are spreading widely across the world and they are continuing to evolve as new device features such MIMO 4×4, Carrier Aggregation are being released to move towards the peak data rates introduced by 3GPP Release 12 and 13. Mobile network Operators are looking for technologies that guarantee higher spectral efficiency and wider spectrum usage but they have to deal with limitations due to commercial devices' RF components. This paper analyzes several scenarios, compares them and suggests deployment strategies.