Doc.: IEEE 15-15-0217-03-0dep Submission May 2015 Ryuji Kohno(YNU/CWC-Nippon), Jussi Haapola(CWC),...

doc.: IEEE 15-15-0217-03-0dep

Submission

May 2015

Ryuji Kohno(YNU/CWC-Nippon), Jussi Haapola(CWC), Aurtur Astrin(Astrin Radio)

Slide 1Slide 1

Project: IEEE P802.15 Working Group for Wireless Personal Area Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)Networks (WPANs)

Submission Title: IG DEP Review of Responses to Call for Interest(CFI) Date Submitted: May 12, 2015Source: Ryuji Kohno(YNU/CWC-Nippon), Jussi Haapola(CWC), Contact: Ryuji Kohno(YNU/CWC-Nippon), Jussi Haapola(CWC), Arthur

Astrin(Astrin Radio) Voice: :+358-8-553-2849, E-Mail: [email protected], [email protected],

[email protected]: IG DEP Review of Responses to Call for Interest(CFI)Abstract: Review of Responses to Call for Interest(CFI)Purpose:Notice: This document has been prepared to assist the IEEE P802.15. It is offered

as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein.

Release: The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P802.15.

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Submission

May 2015


IEEE 802.15 IG DEP

Review of Responses to Call for Interest(CFI)

Vancouver, CanadaMay, 2015

Slide 2

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May 2015


Objectives

To make sure demands and major requirement for wireless dependability in automotive and medical industries, responses to Call for Interest(CFI) are reviewed in the sessions this week.

Then sessions can move forward to discuss on Time Line and Project Plan, and Drafting CSD and PAR.

Slide 3 Myung Lee, CUNY

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May 2015


List of Responses to CFI

Slide 4

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May 2015


Response to CFI: Case 1

Slide 5

Jari Iinatti, Matti Hämäläinen, Tuomas Paso, Ville Niemelä, Jussi HaapolaCentre for Wireless Communications, Department of Communications Engineering, University of Oulu

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May 2015


(Case 1) Would a good wireless solution benefit your application?

If yes, please describe the benefits you would like to realize

Slide 6

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May 2015


(Case 1) Have you tried wireless solutions?What worked and what did not (be specific).

Slide 7

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May 2015


(Case 1) What is missing with what you tried?.

Slide 8

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May 2015


(Case 1) What are the essential performance requirements for your applications’ communications link, whether that link is wired or wireless?

Slide 9

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May 2015


(Case 1) Also please indicate if you would be interested in participation of the development of

this standard.

Slide 10

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May 2015



Slide 11

Tomoyuki 　 Watanabe, Sumitomo Chemistry Co. Ltd.

We are interesting in standardization of dependable wireless network for agriculture farming and factory automation and its related applications.1. major applications•wireless remote sensing plants and controlling facility for farming•wireless remote controlling robots for factory line process with wireless remote sensing

2. requirement•precise sensing health condition of plant same as human health condition•reliable sensing and controlling all of factors in manufacturing line of factory with multiple sensors and actuators in the same time

3. marketing•immediately apply for current ongoing agriculture farm and factory automation•within a few years

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May 2015



Slide 12

Tomoyuki 　 Watanabe, Sumitomo Chemistry Co. Ltd.

We are interesting in standardization of dependable wireless network for agriculture farming and factory automation and its related applications.1. major applications•wireless remote sensing plants and controlling facility for farming•wireless remote controlling robots for factory line process with wireless remote sensing

2. requirement•precise sensing health condition of plant same as human health condition•reliable sensing and controlling all of factors in manufacturing line of factory with multiple sensors and actuators in the same time

3. marketing•immediately apply for current ongoing agriculture farm and factory automation•within a few years

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May 2015



Slide 13

Andreas Kwoczek Konzernforschung, Fahrzeuginformationssysteme Vernetzte Karte und Ortung (K-EFFI/K)Volkswagen AG

I am interested as long as we are not creating another standard that could jeopardize our Vehicle -to- Vehicle communication (802.11p). Creating a wireless senor network inside the car is of high interest to save weight and simplify production.

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May 2015



Slide 14

Jochen Feese Accident Research, Sensor Functions, Pedestrian Protection (RD/KSF)Mercedes-Benz CarsDaimler AGTakashi Ohta, Mersedes-Benz Research & Development,Daimlar Japan, co.

I am interesting in responsiblility for Accident Research, Sensor Functions, Pedestrian Protection within the Mercedes development department.

We have interest in collision avoidance radar in 76GHz in Japan as well as all others in a world.

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May 2015



Slide 15

Masaaki Katayama, Nagoya University, Shinsuke Hara, Osaka City UniversityRyuji Kohno, Yokohama National University

Overview of Japanese IEICE SG on Reliable Radio Remote Control(RRRC)

Doc.:IEEE802-15-14-0163-00-dep

http://www.ieice.org/~rcc/

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May 2015




Slide 16

< Aim >• Promote R&D and business in an interdisciplinary field between controlling and communications. • Create new ICT theories and technologies for dependable wireless not assuming intelligence of nodes unlike human communications in an usual communications.• Create new controlling theories and technologies for dependable control assuming errors in M2M and controlling network.• Promote researching activities in multi-disciplinary fields among fault tolerance, information security, artificial intelligence, and related fields around communication and controlling theories.• Promote business activities in wide variety of industries such as medical healthcare, transportation, smart grid of energy, disaster prevention, public safety, emergency rescue, factory automation, building construction etc.

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May 2015


Dependable WirelessBackground

Safe, secure sustainable fruitful QoL is looked forward.

Need for Highly Reliable, Robust Communications for Controlling

Transition from Human communications to Machine-to-Machine (M2M) communications.

Highly reliable, safe, secure and robust communications for M2M Controlling is necessary.

Integrated wired and wireless networks provide dependable, green and ecological networks adaptable for environment.

Emotion and Sustainability

Medicine, Robot, ITS, Energy Supply, and Manufacturing require more dependability in controlling network, integrated circuit, connection in micro devices.

Medical equipments and industrial products need long life time, fault tolerance.

Dependable Network Architecture for M2M controlling.

Ryuji Kohno's Properties 17

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May 2015


Applications for Highly Dependable Communications for Controlling

Ryuji Kohno's Properties18

Micor Machine Fablication

On Chip Antenna andWireless Network in chio

MMIC(Flip Chip)

Multi-layer BCBSilicon Base

Silicon Bsee

Tele-metering vital dataWearable BAN Implant BAN

Tele-controlling implant devicesEEG.

ECG,Blad PressureTemperatuteMRI imagesEtc. Pacemaker

with IAD

Dependable Network among vital sensors, actuators, robots

Capsule Endoscope

UWB can solve such a problem

that radio interferesa human body and medical equipments

B 車

Collision Avoidance and safe driving by inter-vehicle networks

A 車

Collision Avoidance Using inter-vehicle and roadside networks

Road to car networks Inter-vehicle networks

Inter-module Networks

Dependable Wireless Sensing & Controlling for Manufacturing (CIM)

Dependable Micro Circuit & Network in DevicesDependable BAN for Medical Healthcare

Dependable Wireless Networks for Transportation

Car LAN & Wireless Harness Factory Automation (FA)

Car Navigation & Collision Avoidance Radar

Slide 18

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May 2015


Examples of Dependable Remote Sensing and Controlling

Case of Office, Factory, Parking, Storage:

Robust and efficient transmission and geolocation

Case of Emergency Rescue

Detection of injured persons and remote monitoring disaster condition

Case of Medical Healthcare

Remote monitoring and maintaining patients

Case of hobby and industrial remote control

- Tracing radio controlled helicopter and realistic video transmission

Slide 19

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May 2015



Slide 20

Physical Layer Technologies for Dependable Wireless

According to variance of channel condition, worst performance should be improved to guarantee necessary requirements.

Various advanced wireless technologies should be applied to improve the worst performance.• Transmission Power Control

• Avoid & Filter Undesired Signals

• Space, Time, Frequency Diversity

S/N and D/I improved

20

Time Diversity(RAKE,Channel Coding)Space Diversity(Array Antenna, MIMO)

Frequency Diversity(OFDM, UWB)

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May 2015


PHY Technologies for Dependable Wireless

1. Spread Spectrum (CDMA, Radar)

2. Adaptive Array Antenna(Smart Antenna, MIMO, Space-Time Coding, Collaborating Beamforming)

3. Diversity (Space, Time, and Frequency Domains)

4. Multi-band, Multi-Carrier(OFDM), Multi-Code

5.Coding(Turbo Coding and Decoding, LDPC, Space-Time Coding, Network Coding )

6. Software Reconfigurable Radio （ SDR:Software Defined Radio), E2R(End-to-End Reconfigurability),

7. Cognitive Radio & Network

8. Ultra WideBand (UWB) Radio

9. Collaborative Communications and Sensing

Ryuji Kohno's Properties, Confidential

doc.: IEEE 15-15-0217-03-0dep

Submission

May 2015


Higher Layers Technologies for Dependable Wireless

1. Contention Free Protocol in MAC (TDMA, Polling, Hybrid CFP & CAP etc)

2. ARQ and Hybrid ARQ in Data Link (Type I, II) combination of transmission and storage(buffering)

3. Parallel Routing (Risk Diversity) and Network Coding in network architecture

4. Fault Tolerant Network (Redundant Link and Parallel Hopping) and Cognitive Networking

5. Encryption and Authentication in Application Layer (AES, Camellia, Secret Sharing)

23/04/20 Ryuji Kohno’s Properties, Confidential

22

doc.: IEEE 15-15-0217-03-0dep

Submission

May 2015


Cross Layer & Multi-Layer Optimization for Dependable Wireless

23/04/20 Ryuji Kohno’s Properties, Confidential

Physical Layer:　Cognitive,　Reconfigurable,　Adaptive,　　Robust　Radio,　Error-Controlling　Coding,　Space-Time　　Diversity,　Equalization,　Coded　Modulation,　・・・

Physical Layer:　Cognitive,　Reconfigurable,　Adaptive,　　Robust　Radio,　Error-Controlling　Coding,　Space-Time　　Diversity,　Equalization,　Coded　Modulation,　・・・

Application Layer ： Information　Security(Encryption　and　Authentication,　User　Friendly　Interface　・・・Application Layer ： Information　Security(Encryption　and　Authentication,　User　Friendly　Interface　・・・

Network Layer ： Integrated　Wired　&　Wireless　Network　Architecture,　Network　Security(IP　SEC) ・・・　Network Layer ： Integrated　Wired　&　Wireless　Network　Architecture,　Network　Security(IP　SEC) ・・・　

Dependable　Wireless　with　Less　Power　Consumption　&　Robustness

Dependable　Wireless　with　Less　Power　Consumption　&　Robustness

Data Link & MAC Layer ： Priority　Access　Control,　Fault　Tolerant　Routing,　ARQ,　Hybrid　ARQ,　Distributed　Resource　Management,　　・・・

Data Link & MAC Layer ： Priority　Access　Control,　Fault　Tolerant　Routing,　ARQ,　Hybrid　ARQ,　Distributed　Resource　Management,　　・・・

Device/ Electronics Layer:　Tamper　Free　Hardware,　Robust　Packaging,　SoC,　SOP,　On-chip　CODEC　for　channel　Coding　and　Encryption ・・

Device/ Electronics Layer:　Tamper　Free　Hardware,　Robust　Packaging,　SoC,　SOP,　On-chip　CODEC　for　channel　Coding　and　Encryption ・・

Join

t Op

timizatio

n o

f Mu

lti L

ayers

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May 2015



Slide 24

• Requirements for Dependable M2M– Definition of dependability with scientific criteria

and numerical necessary values as well as design policy.

– Classification of applications; application matrix– Mandatory technical requirements in PHY and

MAC to satisfy the dependability criteria and values

– Optional technical requirements in upper layer such as fault tolerant network, authentication and encryption.

– Self organizing (forming /reforming network within minutes)

– Feasibility study (bandwidth and power efficiency)– Compliance testing body

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May 2015



Slide 25

(1) Although conventional controlling theory does not care of errors in a link or a channel, a new controlling theory will be established in a case of assuming channel errors in a controlling link or network. A new communication theory for M2M controlling should be established to achieve much more reliable, secure, robust against errors, or dependable connection.(2) Common theories and algorithms between controlling and communication theories will be established. For instance, Levinson-Darvin algorithm in linear prediction has commonality with Barlecamp-Massy algorithm of coding theory.（ 3) Dependable wireless M2M may promote a new global trend of R&D and business in wide variety of industries, car, energy, communications, finance, construction, medicine in a world.

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May 2015


26

　　　　 Major 5 Infrastructures of Communications, Transportation, Energy, Commerce and MedicineMajor 5 Infrastructures of Communications, Transportation, Energy, Commerce and Medicine

　　 A. Information TrafficA. Information Traffic （（ TelecommunicationsTelecommunications ））　　 B. Vehicular TrafficB. Vehicular Traffic （（ TransportationTransportation ））　　 C. Energy Traffic(Power & Energy SupplyC. Energy Traffic(Power & Energy Supply ））　　 D. Money TrafficD. Money Traffic （（ CommerceCommerce ）） E. Patient, Drag Traffic(Medicine)E. Patient, Drag Traffic(Medicine)

　　　　 should be integrated to control all flows in future should be integrated to control all flows in future infrastructureinfrastructure

（（ ExampleExample ）　）　A+B A+B ITSITS (Intelligent Transport System) (Intelligent Transport System)A+C A+C Smart Grid Smart Grid (Flexible Energy Network)(Flexible Energy Network)A+D A+D E-CommerceE-Commerce (Borderless Secure Trade) (Borderless Secure Trade)A+E A+E Medicine ICT Medicine ICT (Ubiquitous Medicine)(Ubiquitous Medicine)

ITSTelecommunications

and Transprotation

E-commerceE-Money

Smart GridCommon Network for Electricity and Infrmation

Vehicle

Transportation

Energy

Energy Supply

Money

Commerce

Future Vision of Safe and Secure Social Infrastructures

Human being

Medical Service Medical ICT Ubiquitous Medical Care

Information

Telecommunications

Defense ICTDefense ICT　　 Strategic Information ControlStrategic Information Control

Deserster Prevension ICTSensor Network, Prediction

Environment ICT Green and Eco Network

Nation

PoliticsPolitics

Earth

EnvironmentEnvironment

Regiom

Disaster PreventionDisaster Prevention

Human

MedicineMedicine Medical ICT Ubiquitous Medical CareUbiquitous Medical Care

InformationICTICT

To Dependable Wireless

(Case 5) Also please indicate if you would be interested in participation of the development of this standard.

doc.: IEEE 15-15-0217-03-0dep

Submission

May 2015



Slide 27

Hiroshi Kobayashi, Nissan Automotive Co. Ltd.

Development of Wireless Sensing System

for Factory

Doc.:IEEE802-15-15-0221-01-dep

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Submission

May 2015




Slide 28

Wireless sensing system for Factory1. Equipment Diagnosis System in Real-time with real-time

feedback

1. Real-time measuring

2. Judge immediately with a certain threshold level

2. Equipment Diagnosis System in Real-time (1)

1. Real-time measuring and sending data in real-time

2. Judge based on the comparison with the past data

3. Equipment Diagnosis System in Real-time (2)

1. Real-time measuring and sending data intermittently

2. Judge based on the comparison with the past data

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May 2015



Slide 29

- 2.4 GHZ and 5.46 GHz WiFi for automated guided vehicles.-Quality assurance person checklist with wireless confirmation.-Bluetooth 2.0 or 2.1

- Not enough capacity to support number of nodes.- Too much disconnectivity.- Data rate not sufficient. - Coverage range not sufficient to cover enough area.

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May 2015



Slide 30

- Support for hundreds of nodes.- Coverage range.- Aggregate data rate is not sufficient.- Isolation from other use of ready existing standards, such

as Bluetooth and WiFi is not guaranteed.- Energy consumption is too high to enable battery-based

operation for at least one year.- Prioritized access control not possible.- Lack of bidirectional functionality for control loops.- Response speed for bidirectional connections for feedback

control loop is not sufficient.

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May 2015



Slide 31

- Need to capture all data continuously without delay. Fallback option is to do a sample-by-sample monitoring.

- In alarm and critical events, millisecond-order latencies are the maximum allowed.

- Monitoring ranges from once per day to real-time measurements. - Support for hundreds of sensors per assembly line.- Communications range at least 20 meters.- In real-time monitoring each sensor produces at least 2 Mbps

worth of data.- Permissible delay for control loop in normal operation less than

1 second.- Need for a standardized communications solution for wide-scale

adoption in multiple assembly lines.- Need not to contradict with existing factory automation

standards such as Map/TopCIM.

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May 2015



this standard.

Slide 32

Yes, we are interested in participation to the development of this standard.

Contact:Hiroshi Kobayashi [email protected]

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May 2015



Slide 33

By John Kenny(Toyota USA)

Reported by Ryuji Kohno

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May 2015




Slide 34

- Killer application for inter-vehicle communications- Automatic braking - Inter-vehicle communications networks (group communications)- Multi-hop vehicle communications- Collision avoidance with multiple vehicles

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Slide 35

- Several trials using UWB and SS systems for ranging and communications using the same solution.

- Radio regulations do not approve such combination yet.

-

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Slide 36

- Regulation for using both ranging and communications in the same systems is not allowed.

- Performance not sufficient for their requirements- Guaranteed network connection not sufficiently

robust.- Ranging capability between vehicles should be more

accurate and faster response is required when approaching another car.

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May 2015



Slide 37

- Simultaneous operation for ranging and communications using the same single system.

- Higher accuracy than existing car radar for ranging.- Lack of particular car identification

- Communication link can enable individual target car identification.

- Applicable for both street-use and highway use.

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May 2015



this standard.

Slide 38

Yes.

Contact:

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May 2015



Slide 39

By Kazumichi Kushida (Honda Motor Co. Ltd.)


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May 2015




Slide 40

- Inter-navigation (InterNavi) has capability to communicate among Honda cars.

- Information sharing- ProbeCar, multiple sensor to serve information for other cars.- Disaster case: cars inform one another on roads that are

useable.

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Slide 41

- InterNavi has been sold on commercial vehicles.- Need for better performance- Uses mobile phone network -> need for disaster-

reliable wireless solution.-

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Slide 42

- More resilient than mobile network wireless vehicle-to-vehicle communications system required.

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Slide 43

- To guarantee connectivity even if infrastructure is down or not available.

- Need to standardize a solution that will work also with other car manufacturers.

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May 2015



this standard.

Slide 44

Yes

Contact:

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Slide 45

By Manabu Yagi (NEC Co. Ltd)


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Slide 46

- Networks that function in normal situations could be reconfigured to work in an emergency situation as well.

-

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Slide 47

- NEC has designed a disaster scenario dependable wireless system.

- Too over-specified for normal operation conditions.

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Slide 48

- More cost-effective implementation needed for both normal and emergency cases.

- Capability for mesh-type communications as no central entity may exist in an emergency scenario.

-

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Slide 49

- Single radio solution for both normal and emergency use cases.

- Variable communications range, max. 1 kilometer link distances.

- Requirement, standard definition video transmission.- Max. 100 devices within communications range.- Prioritized access for rescue personnel, lower priorities for

normal users.- In emergency environment, on-demand coordinator conflict

resolution.

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this standard.

Slide 50

Yes

Contact:

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Summary of Requirements

Slide 51

- Number of sensors: few tens to hundreds per network- Types of topologies: star, mesh, inter-connected networks- Data rate requirement: up to 2 Mbps per sensor- Latency in normal operation: 250 ms to 1 s - Latency in critical situation: few ms to 15 ms - Aggregate data rate: up to 1 Gbps (in some applications) / few

Mbps (in others)- Delivery ratio requirement: >99.9 % (in some applications) / >

99 % (in others)- Coverage range: up to 1000 m (in some applications) / 20 m (in

others)- Feedback loop response time: less than 1s / ? In collision

avoidance radar- Channel models:

- in intra-vehicle (needs to be measured), - inter-vehicle (exists in literature), - in factory (partially exists in literature), - in hospital (exist in literature),- in emergency rescue field (exists?)

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Summary of Requirements (cont.)

Slide 52

- Handover capability: seamless between BANs and/or PANs, walking speed, 2 seconds

- Transceiver power consumption: SotA acceptable- Module size: wearable for hospital use, maximum size 5 cm x 2

cm x 1 cm for automotive - Module weight: < 50 g for hospital, < 10 g for automotive &

body- Data packet sizes (typical, maximum):

- Hospital: 100 bytes, 1000 bytes- Automotive: 10 bytes, 1000 bytes- Compatibility with CAN and RIM buses for intra-vehicle

- Security considerations: Handover peers need to have trust relationship. High confidentiality and privacy requirements in hospital environment. Lifecycle management.

- Sensor lifetime: minimum 1 year, up to equipment lifetime- Jitter: < 50 ms in regular case, < 5 ms in critical situations. 5 %

outliers acceptable.

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Summary of Requirements (cont.)

Slide 53

- Interference models:- Intra network interference (MAC&PHY specification

dependent)- Inter-network interference (take a look at literature,

coexistence statements)- Any other?

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Proposed applications

Slide 54

1. Remote healthcare monitoring2. Remote sensing and controlling3. Vehicle internal sensing and controlling4. Collision avoidance radar5. Inter-vehicle communications and ranging6. Wearable and implant wireless medical sensing and controlling7. Applications for ultra wideband radio8. Reliable and robust radio control9. Wearable healthcare sensing10. Secure remote healthcare and medicine11. Wireless sensing system for Factory12. Dependable multi-hop inter-vehicle communications13. Inter-navigation and inter-vehicle information sharing in normal

and emergency conditions14. Single wireless communication network solution that functions

both in normal and in disaster environments

Doc.: IEEE 15-15-0217-03-0dep Submission May 2015 Ryuji Kohno(YNU/CWC-Nippon), Jussi Haapola(CWC),...

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