Connected and Automated Mobility (CAM) services require a network with high reliability, speed, capacity, and ultra-low latency, as well as advanced service features such as network slicing.
This webinar dives into two key aspects of 5G Vehicle-to-Everything (V2X): from the deployment of connected and automated mobility (CAM) services, including the full ecosystem of actors and how they interrelate, investments and revenue models to costs and profits.
Monday 25 November 2019 11:00-12:00 CET
Chair: Mikael Fallgren, Ericsson, Brief Introduction on CAM.
- Andres Laya, Senior Researcher at Ericsson ConsumerLab, Business Feasibility Study for 5G V2X Deployment.
- Jesus Alonso-Zarate, Division Manager at CTTC.
Moderators: Stephanie Parker and John Favaro, Trust-IT
About our panellist and key insights:
Andres Laya is Senior Researcher of Business Aspects at Ericsson, Sweden. In 2009, he completed his M.Sc degree in ICT at BarcelonaTECH (UPC). In 2017, he received his Ph.D in Communication Services and Infrastructures from KTH Royal Institute of Technology. He has contributed to Swedish and European projects on the Internet of Things (IoT), service deployment, and advances in mobile connections. His research interests are consumer perception and business implications of connected devices across diverse industries.
The webinar draws on a collaborative white paper of the 5G PPP Automotive Working Group: Business Feasibility Study for 5G V2X Deployment, with authors from Ericsson, Huawei, Vicomtech, Nokia Bell Labs, Trust-IT, Virtual Open Systems, LiveU, Intel and the Valencia University of Technology. As such, it covers key findings like positive business cases, highlighting where major investments are required on highways and road infrastructures. Investments are needed not only in the private sector but also from the public sector to ensure significant societal impacts are brought to fruition as stated in Action 8 of the "5G for Europe: An Action Plan". The webinar will explain the key influencing factors for CAM service profitability in terms of network deployment, such as infrastructure and network sharing, as welll as diverse parameters and scenarios potentially impacting the estimated profit calculations.