Date: 8 May 2023
Time: 10:00 – 13:00 SGT
Location: SUTD Campus, 8 Somapah Rd, Singapore
Aligning existing and future mobile communication systems to serve sustainability is a central vision of the WWRF for the benefit of the humanity. Connectivity and telecom systems play a central role to achieve sustainability goals. In its Vision 2030 SDG (Sustainability Development Goals), the United Nations has proclaimed access to the Internet as a basic human right and has said that these goals cannot be achieved without affordable access to the Internet by everyone. We view sustainability in a broad context, similar to what the United Nations has done, and are focusing to address as many goals as possible out of the 17 goals defined by the UN in the realization of Beyond 5G and 6G communication.
The workshop has been organized for the duration of 3 hours with a coffee break of 25 minutes. There will be up to five invited speakers, each focusing on the role of communications technology on one or more SDG goals. The workshop will end with a panel discussion with all the invited speakers.
Information on Abstract and Speakers: Click Here
Date: 8 May 2023
Time: 10:00 – 13:00 SGT
Location: SUTD Campus, 8 Somapah Rd, Singapore
The field of CAV stands at the confluence of three evolving disciplines – evolving sensors Internet of Things (IoT) technology, emerging standards for connectivity of vehicles, and growing applications of AI/Machine learning to wireless networking. The number of connected IoT devices are likely to grow from 9.5 billion devices in 2019 to 22.5 billion devices or more by 2025. More optimistic estimates project the number of IoT devices in 2025 to be 55 billion connected devices. Fueling the growth in the evolution of vehicles towards total automation is the development of novel sensors, 3D cameras, lidars and radars and their ability to connect to the Internet, and upload data to a cloud. The sensors of an autonomous vehicle collect anywhere from 1.4 TB to 19 TB of data per hour. Consequently, applications of IoT devices and sensors have rapidly expanded to integrate intelligent sensing and processing along with smart applications of the technology into various fields such as smart homes, smart appliances, enterprises, smart transportation including CAV, smart cities, agriculture, energy, security, healthcare, shopping, location-based services including tracking and other similar fields.
The vast amount of raw data collected must by mined for it to become useful in ensuring traffic safety by means such as intelligent rerouting of traffic or distribution of information on roadwork activities or accidents. Machine learning is a mechanism that has become extremely powerful in extracting meaningful data. A number machine learning algorithms exist and can be broadly classified under unsupervised, supervised, and reinforcement learning algorithms. A number of algorithms exist under each category.
With the advent of 5G and the next generation wireless technologies of 6G and beyond, artificial intelligence and machine learning will play a significant role at all levels of the protocol stack and in creating novel applications. This Workshop will address the impact of machine learning and their applications to CAV with several use cases.
The integration of Artificial Intelligence (AI) with 6G wireless networks has the potential to bring about a significant transformation in various industries, including wireless networks, autonomous driving, and other emerging technologies. This integration can further enhance the speed, reliability, and security of wireless networks, thereby enabling new possibilities for businesses and consumers. However, this integration also poses several challenges, such as the need for advanced wireless networking technologies and the development of new algorithms for processing the massive amounts of data generated by 6G networks. This session will focus on the challenges and opportunities of integrating AI with 6G in the context of wireless networks and autonomous industries.
AV development is a difficult environment: a vehicle controlled by software is operating in an environment in which human (mis)behaviour plays a big factor. Traffic rules and drivers licence rules are written in a manner that is incompatible with good engineering principles. Perception systems need to accurately perceive the world around the vehicle, but will never be 100% correct. The presentation will go into the work CETRAN is doing on assessing safety of AVs in the light of these challenges.
Future CAV will be developed by a systemS approach that is an integrated system involving Vehicles, Road, and Cloud. AI/ML will play an important role in realizing fully automated driving systems.
Some potential applications include:
• AI/ML in communication system
• AI/ML in CAV specific application scenarios
• Some examples
Intelligence and connectivity will be converged deeply, and AI/ML will be the technical enabler for CAV.
Autonomous urban driving has a longstanding promise of deploying fully autonomous taxis and self-driving cars. However, the first step towards autonomy is integration of the self-driving cars in our existing infrastructure and being able to drive side-by-side human driven cars. In this talk, we highlight our initiatives of developing, simulating, and deploying Autonomous Mobility-on-Demand (AMoD) solutions in mixed traffic environments in Singapore. We discuss the fundamental building blocks of AMoD systems, the solutions and algorithms that we have developed and successfully deployed, and the challenges that we have encountered during the process.
With the advent of 5G and the next generation wireless technologies of 6G and beyond, artificial intelligence and machine learning will play a significant role at all levels of the protocol stack and in creating novel applications. This talk will be based on a White Paper under development and will address the impact of AI and machine learning and their applications to CAV with several use cases.
Information on Abstract and Speakers: Click Here
Date: 8 May 2023
Time: 14:00 – 17:00 SGT
Location: SUTD Campus, 8 Somapah Rd, Singapore, 487372
Room: LT4 Building 2 Level 4 (2.404)
This workshop takes a deep dive into challenges and opportunities represented by Open RAN (ORAN) technology and assesses its potential for revolutionizing the wireless communication industry. ORAN is a new network architecture that aims to use open, interoperable, and virtualized components to enhance network flexibility, reduce vendor lock-in, and improve network efficiency. In this workshop, attendees will gain a comprehensive understanding of programmable networks such as ORAN, including its architecture, key components, and be able to judge whether it can achieve these challenging goals. Additionally, experts in the field will share their insights on how ORAN might shape the future of 6G networks and how programmable networks in general could play a critical role in the evolution of wireless communication. Network with professionals in the industry and be a part of shaping the future of wireless technology.
Time | Speaker | Talk |
2pm – 2:10 | Prof. Tony Quek (SUTD) Prof. Zehui Xiong (SUTD) Prof. Binbin Chen (SUTD) | Welcome address by organizers |
2:10 – 2:40 | Prof. Chan Mun Choon (NUS) | FSA: Fronthaul Slicing Architecture for 5G using data plane programmable switches |
2:40 – 3:15 | Dr. Tsunehiko Chiba (VIAVI) | Advancing Open RAN Ecosystem and Testing |
3:15 – 3:35 | Mr. Hang Cao (NI) | Demystifying Key Technologies of Future of 6G Networks |
3:35 – 3:50 | Tea break | |
3:50 – 4:20 | Prof. Cheng (NTUST) | O-RAN Alliance and O-RAN Software Community |
4:20 – 4:40 | Prof. Navid Nikaein (BubbleRAN & Eurecom) | Open RAN Studio |
4:40 – 5pm | Dr. Hongguang Sun (QCT) | Use Case Driven Open RAN Technology Evolvement |
Information on Abstract and Speakers: Click Here