[Seminar] 5G Enabling Technologies for Next-Generation Intelligent Transposition Systems

 

Seminar Title: 5G Enabling Technologies for Next-Generation Intelligent Transposition Systems

Presenter: Dr Andrea Tassi, Senior Research Associate in Wireless Connectivity for Autonomous Vehicles in the Department of Electrical and Electronic Engineering at the University of Bristol, United Kingdom 

Time: 15:00 May 16, 2017

Location: Meeting room, PTIT Campus, 11 Nguyen Dinh Chieu Street, Dakao Ward, District 1, Ho Chi Minh City. Google Maps: https://goo.gl/RRPssF

Abstract: Connected and autonomous vehicles will play a pivotal role in future Intelligent Transportation Systems (ITSs) and smart cities, in general. High-speed and low-latency wireless communication links will allow municipalities to warn vehicles against safety hazards, as well as support cloud-driving solutions to drastically reduce traffic jams and air pollution. To achieve these goals, vehicles need to be equipped with a wide range of sensors generating and exchanging high rate row-data streams. Recently, millimeter wave (mmWave) techniques have been introduced as a means of fulfilling such high data rate requirements. In this tutorial, we will show how to model a highway communication network and characterize its fundamental link budget metrics. To evaluate our highway network, we will refer to a new theoretical model that accounts for a typical scenario where heavy vehicles (such as buses and lorries) in slow lanes obstruct Lineof-Sight (LOS) paths of vehicles in fast lanes and, hence, act as blockages. Our analysis will provide new design insights for mmWave highway communication networks. In particular, we will show that smaller antenna beamwidths and, unlike bi-dimensional mmWave cellular networks, smaller BS densities do not necessarily have a disruptive impact on improving the SINR outage probability, and consequently the rate coverage probability.

Brief Biography:

Dr Andrea Tassi is a Senior Research Associate in Wireless Connectivity for Autonomous Vehicles in the Department of Electrical and Electronic Engineering at the University of Bristol, United Kingdom. He received the MSc degree (cum laude) in Computer Engineering in 2010, and the PhD degree in Telecommunication Systems and Telematics from the University of Florence, Italy in 2014. Before joining the University of Bristol, he was a post-doctoral Research Associate in Joint Coding Designs for Error Correction at the School of Computing and Communications, Lancaster University, UK. His research findings have been presented in several journal papers and international conferences and encompass ultra-reliable and delay-constrained communications, resource allocation strategies, coding theory and information theoretical aspects of next-generation networks. In 2017, Dr Tassi received the Best Paper Award at the SigTelCom Conference for his contribution on the mathematical modelling of next-generation networks for Connected Autonomous Vehicles (CAVs).

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