NSF-RCN Workshop #2 Panel 2 - University of Wisconsin ... · Dept. of Electrical Engineering, Communication Systems Slide 1 NSF-RCN Workshop #2 –Panel 2 Moonshot mmW Challenges

Dept. of Electrical Engineering, Communication Systems Slide 1

NSF-RCN Workshop #2 – Panel 2

Moonshot mmW Challenges and Opportunities for 2020, 2025, 2030

Tommy SvenssonDepartment of Electrical Engineering, Communication Systems Group

Professor, PhD, Leader Wireless Systems

Chalmers University of Technology

[email protected]

Super real-time and reliable connections

Amazingly fast

Great service in a crowd Ubiquitous things

communicating

Best experience follows you

Virtual reality

office

Dense urban

information

society

Shopping

mall

Stadium Traffic

jam

Mobile cloud

processingOpen air

festival

Emergency

communications

Massive deployment of

sensors and actuators

Traffic efficiency and

safety

Teleprotection in

smart grid

networks

Blind spots

METIS Scenarios and Test Cases

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Source: METIS Deliverable D1.1 “Scenarios, requirements and KPIs for 5G mobile and wireless system”, https://www.metis2020.com/

Additional use cases has been proposed by NGMN Alliance, ‘NGMN White Paper,’ Feb. 2015 (available online

https://www.ngmn.org/uploads/media/NGMN_5G_White_Paper_V1_0.pdf)

2

Dept. of Electrical Engineering, Communication Systems Slide 3

Integrate existing and evolving access systems on a packet-based platform to enable cooperation and interworking.

“Optimally connected anywhere, anytime"

Source ITU-R M.1645

Recap: ITU-R Vision for Systems Beyond 3G

Dept. of Electrical Engineering, Communication Systems Slide 4

Network Flexibility versus Efficiency- We have already done it once on the terminal side!

Picture source: http://onpr.com/choosing-the-right-smartphone-its-easy-to-decide/

Dept. of Electrical Engineering, Communication Systems Slide 55

Calls for integrated computing and communications to meet stringent delay and energy efficiency requirements.

Source: mmMAGIC WP4 presentation, ETSI workshop,

Sophia-Antipolis, Jan 28, 2016

Standalone mm-wave Networks -From hexagonal cells to dense unstructured narrow beam spaces

Dept. of Electrical Engineering, Communication Systems Slide 6

Network slicing in self-backhauled mm-wave Networks -Where should we do the computing?

Dept. of Electrical Engineering, Communication Systems Slide 7

Challenges and Opportunities with Demanding Verticals”Integrated Moving Networks”

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• Mutual benefits!

• Better mobile systems efficiency: Vehicles collect side information to improve the resource allocation and performance of the mobile network

• More reliable V2X links: Connect non-vehicular users to the Traffic Safety/Traffic Efficiency protocols (Pedestrians, cyclists, pets, …)

• New disruptive business opportunities: exploiting vehicle sensed data

New opportunities

Dept. of Electrical Engineering, Communication Systems Slide 8

Introductory Statement on the Overall Panel Questions

1. What are some “moonshot use cases” for driving mmW research and technology?

– High data rate and low latency driven use cases

– Potentially small form factor devices – tight on-chip integration

2. What are some “moonshot technology requirements” for driving mmWresearch?

– Standalone and self-organizing mm-wave networks with multiple network players

3. How can academia and industry collaborate to leverage the new NSF PAWR (Platforms for Advanced Wireless Research) program to deliver “moonshot” advances?

– Collaborate with European and Swedish research programs!

Dept. of Electrical Engineering, Communication Systems Slide 9

Panel Questions• What use cases will drive the next generation of mmW wireless technology and network expansion? Can you

think of any application / use cases that right now would look remarkable – like a “moonshot”.

– Ambient intelligence/Augmented reality based applications

• Possible use cases include:

– Further increase of common wireless applications we use today such as video, web browsing,

– Connected car: autonomous driving, media download, sensor data fusion.

– VR / AR

– Robotics

– Telepresence

– Cloud / edge computing

– Others?: Massive IoT towards Ambient Intelligence

• In the context of cloud computing, there is always a choice between local and remote computing. While wireless connectivity will improve, so will the computational processing and storage capabilities of devices. Which trend will dominate?

– We will need both. Ideally we should pre-process as much data as possible at the source before sending it through the network.

• Can we imagine the use cases now? Is that the way we should drive research? Can we trust that if we provide data, it will be used?

– Based on our previous experience: No.

• What are the devices of the future? What will be connected?: Anything that wants to be connected will be connected, unless we will face a privacy/energy/electronic waste consumption crisis.

– Smartphones

– Wearables

– Machines, robots?

Dept. of Electrical Engineering, Communication Systems Slide 10

Panel Questions• Let’s be more bold. Wireless is about connectivity of devices and people. Imagine yourself as a science fiction

writer. If technology was not an issue, how would people interface with devices, the cloud, and other people?: Ambient intelligence, information, knowledge and skills would be available as a good friend.

• What are the technical requirements for these applications: All of those listed and Integrated security and privacy solutions.

– Latency

– Data rate

– Numbers of devices

– Power consumption

• Can we think of specific technical goals to strive for (e.g. capacity of x Gbps, y latency, …)? Scalability of the solutions in terms of complexity, energy efficiency and distributed/decentralized self-organized solutions.

• What are the technological areas that we need to concentrate on? What are the real bottlenecks in achieving this vision: All of those and convergence of computing and communications.

– New user interfaces?

– Power consumption?

– Air interface

– Network density / infrastructure.

• Which of these are simply business rather than engineering challenges.: It will be a mix of both.

• What skills / expertise will be needed for developing the future wireless technology? How should we be training students?: Converge computer science and communication/information theory and hardware.

• What companies have the right assets / expertise to succeed. Will new players (e.g. Google, Facebook, cable providers) play a growing role?: Yes, companies like Google and Facebook will play an important role, unless governmental requirements on privacy will disrupt. In general, I think there will be a need for new services like personal information management and protection.

• Will wireless become like a utility? Yes, but integrated in services.