Ricerc@Sapienza

This paper presents a fully differential class-AB current mirror OTA that improves the common-mode behavior of a topology that presents very good differential-mode performance but poor common-mode rejection ratio (CMRR). The proposed solution requires a low-current auxiliary circuit driven by the input signal, to compensate the effect of the common-mode input component.

FPGA-synthesizable soft-processor cores are commonly used in many digital system applications with low medium production volume, to control heterogeneous dedicated computational units and I/O units. In such contexts, the inherently multi-tasking nature of the processor operation demands for a cost-effective and energy-efficient multi-threaded execution, either as multi-core architecture or multi-threaded single-core. This work presents an experimental exploration of microarchitecture design solutions for multi-threaded soft processor core implementations on FPGA.

The emergence of nanosecond pulsed electric fields (nsPEFs) for intracellular manipulation experiments requires the use of specific miniaturized applicators. We propose the design of a versatile nsPEFs applicator, based on microwave propagating systems, suitable for in vitro exposure to undistorted 1-3 ns pulses in single and multi-cell experiments. Further features of the proposed devices are: high efficiency, microfluidic integration, real time monitoring of the biological sample and of the pulse propagation.

Time Reversal (TR) is a prefiltering scheme mostly analyzed in the context of centralized and synchronous IR-UWB networks, in order to leverage the trade-off between communication performance and device complexity, in particular in presence of multiuser interference. Several strong assumptions have been typically adopted in the analysis of TR, such as the absence of Inter-Symbol / Inter-Frame Interference (ISI/IFI) and multipath dispersion due to complex signal propagation.

Visible Light Communications (VLC) are a new key in the Internet access as well as, a possible enabler of Internet of Things. This kind of systems can allow, in principle, high data rate by stressing the bandwidth and also the spatial dimension. We deal in this work with a 3×3 VLC system characterized by red, green and blue LEDs at the transmitter and three photodiodes at the receiver. Each photodiode is tuned on a different color. In this paper we analyze the mutual information expression when thermal noise is present and we distinguish two different approaches.

Mobile Edge Computing (MEC) plays a key role in the 5G roadmap, as a way to bring information technology (IT) services closer to the mobile users by empowering radio access points with additional functionalities, like caching or computation offloading capabilities. At the physical layer, some of the key technologies enabling very low latency mobile services are dense deployment of radio access points, massive MIMO and millimeter-wave (mmW) communications for radio access as well as for radio fronthaul/backhaul.

One of the key features of 5G roadmap is mobile edge computing (MEC), as an effective way to bring information technology (IT) services close to the mobile user. Moving computation and caching resources at the edge of the access network enables low latency and high reliability services, as required in many of the verticals associated to 5G, such as Industry 4.0 or automated driving.

This paper presents the vision of 5G-MiEdge, a research project leveraging the benefits of merging MEC and mmWave technologies. Based on that vision, the most relevant use cases and services for the forthcoming Tokyo 2020 Olympics are proposed. The focus is on showing how integrating MEC and mmWave into the 5G network architecture can offer a much more effective system.

.Due to the growing interest for multimedia contents by mobile users, designing bandwidth and delay-efficient distributed algorithms for data searching over wireless (possibly, mobile) “ad hoc” Peer-to-Peer (P2P) content Delivery Networks (CDNs) is a topic of current interest. This is mainly due to the limited computing-plus-communication resources featuring state-of-the-art wireless P2P CDNs. In principle, an effective means to cope with this limitation is to empower traditional P2P CDNs by distributed Fog nodes. Motivated by this consideration, the goal of this paper is twofold.

Energy efficiency is one of the main issues that will drive the design of fog-supported wireless sensor networks (WSNs). Indeed, the behavior of such networks becomes very unstable in node’s heterogeneity and/or node’s failure. In WSNs, clusters are dynamically built up by neighbor nodes, to save energy and prolong the network lifetime. One of the nodes plays the role of Cluster Head (CH) that is responsible for transferring data among the neighboring sensors. Due to pervasive use of WSNs, finding an energy-efficient policy to opt CHs in the WSNs has become increasingly important.