Dr. Vincenzo Mancuso is Research Associate Professor at IMDEA Networks Institute (Madrid, Spain) since 2010. Before, he was with University of Palermo (Italy), from which he received a Ph.D. in Electronic, Computer Science and Telecommunications in 2005, Rice University (Houston, TX, USA), and INRIA (France).
His research activity focuses on analysis, design and experimental evaluation of architectures for opportunistic wireless networks.
He has authored more than 100 conference and journal papers, among which several papers at INFOCOM, Mobicom, and IEEE transactions. He has been involved in 25 national and international projects, including 5G and 5G-precursor projects.
He has taught courses for graduate/undergraduate students at University of Palermo and University Carlos III of Madrid, focusing on switching, wireless communications and performance evaluation.
He has supervised more that 40 students and currently leads a research group of two research professors, five PhD students and one research engineer.
Tutorial: Mobile Relay in Heterogeneous 5G Access Networks with the Aid of Ground Vehicles and Drones
Abstract: Extremely high mobility in 5G networks calls for novel solutions that involve the use of virtualization of functions and network component as well as extremely flexible deployment of physical network hardware. In this context, the tutorial addresses two possible architectural components of such flexible deployments, namely the use of dronesto carry relay nodes and the adoption of mobile hardware implementing mobile base stations. In both cases, the key idea lays in the possibility to extend the coverage offered by fixed hardware by means of mobile packet relays. This approach is relevant for those cellular networks that show high heterogeneity in terms of fixed deployment density and coverage, user density and also large fluctuations of traffic demand over time.
The tutorial starts with an introduction to the main open research challenges related to extremely high mobility and then presents some generic results on mobile relay architectures, which illustrate the importance of deploying relay stations in heterogeneous cellular networks. We then discuss issues related with mounting relays on top of either aerial or ground vehicles.
Although drones can be used to target many types of functionalities, here we only consider drones carrying relays for making it possible to reconfigure cellular network coverage upon gradual or sudden changes of drastic proportion in traffic demand and user density. Flying prototypes carrying SDR base stations are commercially available for such purpose. Drones hovering a few hundreds of meters above the ground can indeed be used to follow user’s movement and to relocate network access resources in a few minutes within large areas, e.g., within the boundaries of a city. Drone-aided relay can be made transparent to the users, so that no changes are required at user equipment side. However, the connectivity offered by drones is intrinsically different with respect to the one offered by base stations and relays deployed on the ground. This is due to possibly frequent handovers and to the fact that using drones allows for seeking the establishment of line-of-sight links. However, drones need backhaul links to sustain the traffic they offer to relay, so that they introduce extra management complexity at system and technology level. The key aspect discussed in the tutorial consists in the positioning and repositioning of drones over time.
Deploying relay nodes does not necessarily need to be planned and actively controlled. Indeed, in the tutorial we show the strong correlation between traffic demand and presence of transport vehicles. Therefore we discuss architectures for the opportunistic deployment of relay stations aboard ground vehicles such as rental cars or busses. The key idea is that the density of vehicles is higher where traffic demand is higher, so that endowing with relay hardware a few transport vehicles chosen at random happens to improve network coverage where and when needed. Another advantage of such architecture is that network coverage adjustments almost strictly follow traffic demand intensity adjustments.
Keynote: Analysis of Data Services for Massive and Time-Critical 5G Scenarios
Abstract: The keynote discusses the allocation of resources to slices on the radio interface of one cell. We have developed a detailed stochastic model of the behavior of the sliced cell radio access, including detailed features of the standard radio access procedure. First, we develop a simple, yet accurate, performance model to understand if and how evolutions of traditional cellular network protocols can be exploited to allow large numbers of devices to gain control of transmission resources in smart factory radio access networks. Then we show that the model easily extends to multiple concurrent slices, although slice performance cannot be easily decoupled.
The model allows for the computation of the throughput achieved by each slice, as well as the distribution of access delays for each slice. The availability of a model capable of accurately predicting the performance achieved by services using different slices as a function of the cell parameters is extremely important for the automated run time management of the cell and for the correct setting of its parameters. Focusing on the case of the coexistence of slices for human-type and machine-type communications, model results call for a rethinking of wireless access strategies to avoid ultra-dense cell deployments within smart factory infrastructures.