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MOBILE COMMUNICATION AND INTERNET TECHNOLOGIES Wireless 5G: Why, How, and What? and Where are the Opportunities for Us? http://web.uettaxila.edu.pk/CMS/AUT2014/teMCITms / Courtesy of: Prof. T. Russell Hsing. CUHK Hong Kong

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MOBILE COMMUNICATION AND

INTERNET TECHNOLOGIES

Wireless 5G: Why, How, and What? andWhere are the Opportunities for Us?

http://web.uettaxila.edu.pk/CMS/AUT2014/teMCITms/

Courtesy of:

Prof. T. Russell Hsing. CUHK Hong Kong

MODULE OVERVIEW

Wireless Evolution

Seven Key Technologies for ICT Applications & Services

Example FeaturesSmall Cell Networks Smart Data PricingSDN-Based Mobility Management

Application ScenarioInternet of Vehicles

Wireless Evolution: Technologies, Services and Business Models

3 Source: Prof. Bo-Chao Cheng

1G (Analog)InternetManufacturer

2G/2.5G(Digital) InternetManufacturer

Digitalization

PacketNetworking 3G/4G Internet

Manufacturer

Internet

Internet of Vehicles

Smart Grid

Internet of Things

5G

4Source: Dr. Adam Drobot

All of The Following Seven Key Technologies for ICT Applications & Services Have Being Constantly Improving:

• Communication • Computing• Storage• Interfaces• Sensors• Actuators• Software Algorithms

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Wireless 5G: Why Now? • Currently 3G/ 4G could deliver unprecedented:

Coverage Bandwidth Latency (not quite yet!) Reliability

But 3G/4G could not fulfill many of the demanded emerging services and the new type of social media-enabled traffic pattern

• After iPhone was introduced in 2007 by Steve Jobs demand spiked immediately • Traffic volumes will increase at least 10~100 X from 2010 to 2020• Energy required will be at least 10X, Need Green Energy Communication• Need “Best Effort” QoS >> ”Guaranteed” QoS Services for End-to-End Internet

Networks, and Spectral Efficiency• Need new Business Models and More Spectral Efficiency

6

Wireless 5G: How? (i.e. Anticipated Features)

• In the Near Future: Wireless 5G’s anticipated features

Wireless 5G technologies should deliver explosive range & depth services:

Personalization, Ubiquitous availability, Context awareness, Smart Data Pricing (SDP)

NFV/SDN-Based Mobility Management for Wireless 5G Cognitive Radio Network (CRN)-Based Spectrum Sharing Small Cell Networks (for huge data transactions applications) New Business Models: NaaS, DaaS, KaaS

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Examples: Three Features and One Application Scenario for

the Future Wireless 5G

•Feature 1: Small Cell Networks

•Feature 2: Smart Data Pricing

•Feature 3: SDN-Based Mobility Management

•Application Scenario: Internet of Vehicles (IoV)

Small Cells for LTE, IoT, 5G

Interference/Coverage

Network Operator Service for smarter apps.

POWERFLOW

Time

Frequency

Rad

io

3D Radio Resource Management

Source: Ming-Jye Sheng, EDGE Lab. Princeton University

1. More efficient traffic aggregate for smarter apps and services2. More efficient QoS management for revenue based model3. More adaptive network management for deploying to multiple areas

(Wide, Hotspt, Indoors) and business cases (Metro, Residential, Enterprise)

4. More efficient spectrum/radio resource management to squeeze more capacity and value out of spectrum

1,23

4

Why Smart Data Pricing? (1/3)

Source: Prof. Bo-Chao Cheng

Why Smart Data Pricing? (2/3)

10

Network Congestion (Bursty Internet Traffic)• Bandwidth-Hungry

Devices• Cloud Service• M2M Applications• Capacity-Hungry

Application

Flat-Rate Pricing

Source: http://www.potaroo.net/studies/1slash8/1slash8.html

Hard Solution: Network Deployment

• Usage-Based since 2008

• Application-Based

Cons1. What Time2. Traffic Condition3. Network Resource

Soft Solution:Pricing Strategy

Source: Dr. Gi-Ren Liu & Prof. Phone Lin

Applications for Smart Data Pricing (3/3)

11

Time & TrafficDependent Pricing: • Peak Load

Pricing• Off-Peak

Discounting

Change of User Incentives for Internet Access

Time- & Traffic-Shifting Data Demand

Pros:• Ease Network Congestion• Flatten Traffic BurstCons:• Network Neutrality• Hurts Demand ?

• TUBE by Chiang's lab, a solution, allows smartphone users to pay for their network usage based on what time they download videos and other data.

• The UI on an iPhone provides users with information on pricing and usage history to encourage them to use their phone during off-peak hours.

Example: TUBE Solution by Mung Chiang’s LAB, PRINCETONhttps://www.princeton.edu/engineering/news/archive/?id=5103

Source: Dr. Gi-Ren Liu & Prof. Phone Lin

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What is SDN-Based Mobility Management*

Incompatible wireless systems will still coexist in the future In SDN-based mobility management Core network and radio network are

reconfigurable Both network and mobile node can choose

their prefer mobility management protocols

*Jyh-Cheng Chen, et. al, "RAMP: reconfigurable architecture and mobility platform“. IEEE GLOBECOM 2005

*Jyh-Cheng Chen, et. al, “Reconfigurable architecture and mobility management for next-generation wireless IP networks,” IEEE Transactions on Wireless Communications, August 2007

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Why SDN-based Mobility Management

The network can incorporate different mobility protocols with different features.

Mobile node can change its mobility protocol at anytime when moving into different networks.

Can incorporate new protocols easily

Can integrate heterogeneous networks easily

Provide guaranteed QoS for end-to-end Internet

Source: Prof. Jyh-Cheng Chen, NCTU

14

Internet of Vehicles: Vehicular Telematics Applications (1/2)

V2I CommunicationV2V CommunicationGPS

Safety/Auto Services

Navigation & Mobility

Infotainment & E-commerce

Telematics Enabled Vehicles

Connected Vehicle Services•Safety/Auto services

• Driver Safety and Security• Vehicle Maintenance

• Navigation & Mobility• Traffic, ETA, POI, Localized Searches• Tolls and Parking

•Infotainment & E-Commerce• Digital Content• Social Networking

Enabling Trends

•Smartphone Platforms• App Store Business Model• Tethering for OBU

•OBU and Passenger Entertainment Systems• Embedded wireless and sensors• Smartphone integration with improved HMI

•Infrastructure• Vehicle Infrastructure Integration (VII)• Cloud based delivery

Internet of Vehicles: High Speed Rail (HSR) (2/2)

Train Control System Data transmission

Required high reliability and security

Communication System Voice communication

Train crews and operation center

Data transmission Diagnostics, CCTV or

etc. Passenger service

Wi-Fi connecting to Internet

Acela Express(Amtrak, USA)

TGV(SCNF, France)

TokaidoShinkansen(JRC, Japan)

Wireless 5G: What ? (i.e. Our Objectives [PASS])

Performability full connectivity, coverage, bandwidth, latency, green energy

Adaptivity (for future traffic volumes) SDP, CRN-based spectrum sharing & NFV/SDN-based mobility management,

context awarenessScalability

number nodes and traffic volumesSecurity

confidentiality, integrity, availability, reliability, privacy and trust

17

 Technology Trend (1/2):

Cloud-based Networking >> Fog-based Networking

• Pushing processing and storage into the “cloud” has been a key trend in networking and distributed systems in the past decade. In the next wave of technology advance, the cloud is now descending to be diffused among the client devices, often with mobility too: the cloud is becoming “fog.”

 • Fog Networking combines the study of mobile

communications, micro-clouds, distributed systems, and consumer big data into an exciting new area

Source: Prof. Mung Chiang, Princeton University

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 Technology Trend (2/2):

Cloud-based Networking >> Fog-based Networking

Examples of recent Fog Networking R&D activities range from RF and physical layer to application layers:

•Client-driven distributed beam forming •Client-side HetNets control •Client-defined cloud storage systems •Efficient distributed storage at the edge micro-clusters •Smart Data Pricing implemented through client-side control•Crowd-sourced LTE network state inference

Source: Prof. Mung Chiang, Princeton University

19

Wireless 5G: What? (i.e. Enabling Services Creation)

-Applications- & Services- Driven Research for Services Creation Based on “Cloud & Fog Computing” Platform to develop

Mobile Applications which are ubiquitous, scalable, reliable and cost effective

Internet of Vehicles (IoV) and Healthcare Services Privacy-preserving secured communications Green Communications for Future Mobile Wireless

Technology and Services Provision Small Data Pricing Applications ISP, Content provider, Consumer Win-Win-Win ecosystem New Business Models: NaaS,, DaaS, and KaaS

Large diversity ofUse cases

& Requirements

Device-to-Device Communications

Car-to-Car Comm.

New requirements and characteristics due to

communicating machines

Avalanche of

Traffic Volume

Further expansion of mobile broadband

Additional traffic due to communicating machines

“1000x in ten years”

Massive growth in

Connected Devices

“Communicating machines”

“50 billion devices in 2020”

5G Challenges

1000x higher mobile data volumes

10-100x higher number of connected devices

10-100x typical end-user

data rates

5x lower latency

10x longer battery life

for low-power devices

Up to 10Gbps

10 years 50/500 B devices

Few ms E2E

METIS Technical Objectives1000x data

volume

https://www.metis2020.com/

Q A&

Assignment #8

– Write Notes on the terms highlighted in Red in this presentation

–Visit the following URL and select a paper for presentation in next classes by each student group (2 students Max)• http://www.nec-labs.com/~lume/sdn-reading-list.html