Transcript Mobile Communication and Internet Technologies

MOBILE COMMUNICATION AND
INTERNET TECHNOLOGIES
http://web.uettaxila.edu.pk/CMS/AUT2014/teMCITms/
Wireless 5G: Why, How, and What?
and
Where are the Opportunities for Us?
Courtesy of:
Prof. T. Russell Hsing. CUHK Hong Kong
MODULE OVERVIEW
Wireless Evolution
Seven Key Technologies for ICT Applications & Services
Example Features
Small Cell Networks
Smart Data Pricing
SDN-Based Mobility Management
Application Scenario
Internet of Vehicles
Wireless Evolution:
Technologies, Services and Business Models
Internet of Things
Internet of Vehicles
5G
Packet
Networking
3G/4G
Internet
Smart Grid
Internet
Manufacturer
Digitalization 2G/2.5G(Digital) Internet
Manufacturer
1G (Analog) Internet
Manufacturer
Source: Prof. Bo-Chao Cheng
3
All of The Following Seven Key Technologies for ICT
Applications & Services Have Being Constantly Improving:
•
•
•
•
•
•
•
Communication
Computing
Storage
Interfaces
Sensors
Actuators
Software Algorithms
Source: Dr. Adam Drobot
4
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
5
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
6
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)
7
Small Cells for LTE, IoT, 5G
1,2
3
Interference/
Coverage
Network Operator
Service for smarter apps.
4
Radio
3D Radio Resource Management
POWER
FLOW
Frequency
1. More efficient traffic aggregate for smarter apps and services
2. More efficient QoS management for revenue based model
3. 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
Source: Ming-Jye Sheng, EDGE Lab. Princeton University
Why Smart Data Pricing? (1/3)
Source: Prof. Bo-Chao Cheng
Why Smart Data Pricing? (2/3)
• Bandwidth-Hungry
Devices
• Cloud Service
• M2M Applications
• Capacity-Hungry
Application
Network Congestion
(Bursty Internet Traffic)
Flat-Rate Pricing
Source:
http://www.potaroo.net/studies/1slash8/1slash8.html
Hard Solution:
Network
Deployment
Source: Dr. Gi-Ren Liu & Prof. Phone Lin
Soft Solution:
Pricing Strategy
• Usage-Based
since 2008
• ApplicationBased
Cons
1. What Time
2. Traffic Condition
3. Network Resource
10
Applications for Smart Data Pricing (3/3)
Time & Traffic
Dependent 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 Burst
Cons:
• 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
Example: TUBE Solution by
Mung Chiang’s LAB, PRINCETON
to encourage them to use their phone during
https://www.princeton.edu/engine
off-peak hours.
ering/news/archive/?id=5103
Source: Dr. Gi-Ren Liu & Prof. Phone Lin
11
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, “Reconfigurable architecture and mobility
management for next-generation wireless IP networks,” IEEE
Transactions on Wireless Communications, August 2007
*Jyh-Cheng Chen, et. al, "RAMP: reconfigurable architecture and
mobility platform“. IEEE GLOBECOM 2005
12
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
13
Internet of Vehicles: Vehicular Telematics Applications (1/2)
Safety/Auto
Services
Navigation
& Mobility
Infotainment &
E-commerce
V2I Communication
V2V Communication
GPS
Telematics Enabled Vehicles
Connected Vehicle Services
Enabling Trends
•Safety/Auto services
•Smartphone Platforms
•Driver Safety and Security
•Vehicle Maintenance
•App Store Business Model
•Tethering for OBU
• Navigation & Mobility
•OBU and Passenger Entertainment Systems
•Traffic, ETA, POI, Localized Searches
•Tolls and Parking
•Embedded wireless and sensors
•Smartphone integration with improved HMI
•Infotainment & E-Commerce
•Infrastructure
•Digital Content
•Social Networking
•Vehicle Infrastructure Integration (VII)
•Cloud based delivery
14
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)
Tokaido
Shinkansen
(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 awareness
Scalability
 number nodes and traffic volumes
Security
 confidentiality, integrity, availability, reliability, privacy and trust
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
17
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
18
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
19
5G Challenges
Avalanche of
Massive growth in
Large diversity of
Traffic Volume
Connected
Devices
Use cases
&
Requirements
Further expansion of
mobile broadband
“Communicating machines”
Device-to-Device
Communications
Additional traffic due to
communicating machines
“1000x in ten years”
Car-to-Car Comm.
“50 billion devices in 2020”
New requirements and
characteristics due to
communicating machines
METIS Technical Objectives
1000x data
volume
1000x
higher mobile
data volumes
50/500 B
devices
Up to
10Gbps
10-100x
10-100x
higher number of typical end-user
connected devices
data rates
https://www.metis2020.com/
Few ms E2E
10 years
5x
10x
lower latency
longer battery life
for low-power devices
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