EVOLUTION TO 5G WIRELESS · 2018-01-04 · EVOLUTION TO 5G WIRELESS ... Service Network Access...
Transcript of EVOLUTION TO 5G WIRELESS · 2018-01-04 · EVOLUTION TO 5G WIRELESS ... Service Network Access...
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EVOLUTION TO 5G WIRELESS
WITH MOBILE CLOUD APPLICATIONS
AN EFFICIENT MEET-UP MECHANISM BY MASHING-UP
SOCIAL AND MOBILE CLOUDS
Li-Chun Wang 王蒞君
National Chiao Tung University, Taiwan
http://lichun.cm.nctu.edutw
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Generation Aspect of Cellular Mobile Systems
3/19
2G 3G WCDMA
14.4Kbps 2Mbps
4G LTE/LTE-
AUnlimited
Possibility
~1Gbps
3.5G HSPA
14.4Mbps
HSPA: High Speed Packet Access
LTE: Long Term Evolution
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Key Features of IMT-Advanced
• user equipment suitable for worldwide use;
• worldwide roaming capability;
• user-friendly applications, services and equipment;
• enhanced peak data rates to support advanced services and
applications (100 Mbit/s for high and 1 Gbit/s for low mobility
were established as targets for research).
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Key Features of IMT -Advanced
• a high degree of commonality of functionality worldwide while
retaining the flexibility to support a wide range of services and
applications in a cost efficient manner;
• compatibility of services within IMT and with fixed networks;
• capability of interworking with other radio access systems;
• high quality mobile services;
Note: IMT = International Mobile Telecommunications
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Drivers of 5G Wireless
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2001 2005 2010
Service Network
Access Network
Radio Technology
Terminal
Technology
Core Network
2G Services
(Computer-centric)
Cyberworld
Services
(human-centric)
Ubiquitous Services
(Network-centric)
UMTSProgrammable
Networks (SDN)
IP Backbone
Cellular
WLAN
PAN
Ad Hoc
Intelligent
Ubiquitous Access
CDMA
TDMA
Aggregated
Multiple Access OFDMA
MIMONetwork
MIMO
Single-
mode
Multi-mode Reconfigurability Cloud-based
Cognitive
Devices
2015
Mobility OoSModular
Protocol
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Applications for 5G
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3D, Mobile
Augment Reality
YouTube
Web, Video
SMS
Source: Josef Noll, University of Oslo
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Service Aspect for 5G Wireless
28Source: Fujitsu
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What is human centric service?
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Intelligent Human Centric Society
30Source: Futjitsu
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Terminal Aspect for 5G Wireless
• 2001
– Single-mode
• 2005
– Multi-mode
– Open architecture
• 2010
– Reconfigurability
– Cognitive Radio or more?
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Future Multiple-Sense Mobile Device
Massive scale computation
(billion of simultaneous
transactions) needed to
mash up personal data,
preference, real-world data,
and device capability.
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12臺灣雲端技術發展策略論壇
Current Applications of Sensors in
Smart Phones
• Motion and proximity sensors
– detects the movement of the phone to your ear
– automatically goes into speech recognition mode.
• Microphone
• Search databases + speech recognition database
– the most frequent search terms in its database.
• Location sensors
– A search for "pizza" returns the result you most likely want: the name, location, and contact information for the three nearest pizza restaurants.
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Mobile Augmented Reality• Wikitude: travel guide application for Android
– Point the phone’s camera at a point of interest
– GPS to superimpose distances to points of interest
– Compass to keep track of where you’re looking
– The application looks up what it sees in its online database
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MAR for Hearing-Impaired
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Challenges and Opportunities
for Smart Phones
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16臺灣雲端技術發展策略論壇
Potentials of sensor-enabled smart phones
have Not exploited yet!
• Smart Connectivity
– Connecting to heterogeneous wireless networks, 4G/B4G, WiFi, WiMAX,
Bluetooth, NFC
• Smart Computing: context aware and low power
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− Visual: cameras
− Audio: microphone, microphone array
− Multi-touch
– Location: GPS, compass
– Motion: accelerometers, proximity sensors
– Ambient: light, thermometers, humidity, pressure
– Physiological: temperature, galvanic skin response (GSR), pulse, respiration
– Chemical: electronic nose, electronic tongue
• Output
− Visual: HD display, pico-projectors
− Audio: speakers
− Vibrator
− …
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What is the role of Smart Phones in
cloud computing?
• Smartphones = gateway to the cloud, and the
bridge of sensors
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Are Current Smart Phones Smart Enough?
• No!
• Challenges:
– APIs of sensors of current mobile phones are different and not standardized.
– There is a gap between PaaS and SaaS . Programmers cannot easily use PaaS to
develop new mobile applications
• A set of standardized APIs for multi-sensing platform is
needed to create new cloud applications for smart phones.
• Domain-specific Platform as a Service (aPaaS) is needed.
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Se-So-Mo-Lo (思索摸路) Project in NCTU
• Integrate Sensor + Social +Mobile + Local
• To provide human centric services from on-
line to off-line
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Multi-Sensed
Cloud Devices
Service Cloud
Multi-Sensed
Service Engine
3G/WiFi
Education Cloud
EmergencyCloud
Commerce Cloud
1. Mobile AR
2. Privacy Protection
3. Multi-sensor Fusion1. Search Engine
2. Location Tracking
3. Sensor data processing
Virtual
File
System
Key ElementsSensing
Data
Sensor-Enabled Mobile Clouds
Multi-Sensing Platform
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dPaaS in Sensor-Enabled Mobile Clouds
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Model
• Social Layer
– Purchase behavior analysis for a group of people
• Attribute Layer
– Every transaction of a customer reflect his/her purchase behavior
• Shop Layer
– Recommend related stores to potential customers
2012/11/22 22
Multi-Layer Data Dining for
Retailer Commerce
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JOIN:
A mobile social network application
Objective: Provide immediate and personalized LBS
information for a group of users.
Real-time meet-up activities for a group of mobile users
Integrating GPS, cloud computing, smart phone and wireless
communications.
A on-line LBS service beyond the combination foursquares.com and
latitudes.com.
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Mashup Clouds for Mobile Social Networks
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Mobile Devices
Mobile Networks Social Networks
Cloud Platforms: Facebook, MSN
System Components: Community Engine
Functions: 1. Group Event Announcement
2. Group Membership
NCTU Cloud PlatformsCloud Platform: Hyper-v
System Components: JOIN Engine
Functions: 1. Mobile User Location Database
2. Area Interesting Events
Advertisement
3. Location–based Group Scheduling
4. Speech Recognition
WiFi
Internet
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JOIN Client Architecture
Software Design and Using: Android Developer
WP7
Hardware Using: Smart Phone
Location
GPS (satellite fix)
AGPS (base station fix)
Sensors
Communication devices:
WiFi
3G / LTE
Communication Functions
GPS/AGPS WiFi LTE/3G
Data Collection
Information Update
GUI
Data Analysis
No-Touch Mechanism
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JOIN Cloud Architecture
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NCTU Cloud Platforms JOIN engine:
Location database
Current and historical locations of each user
Dynamic calculation of distance among friends
Static locations of stores related to interested groups
Group membership and polling
Event Scheduling with data mining
Social Networks Community engine
Group Event Announcement
Group Scheduling
Client
Interest point & Activities
Historical Location
User Information
Security MechanismDistance Calculation
Event Scheduling
NCTU Cloud Platform
Mobile Network, Social Network
GroupEvent
Announcement
GroupMembership Web Service
LTE/3G/WiFi
Internet
GUI
Information Update
Data Collection
Communication Functions
Data AnalysisGPS
GPS
Database
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Developed mechanisms for
mobile meet-up
• Calendar Merge-Up Mechanism
• Meet-Up Voting
• Location Pushing-Up Mechanism
• Proximity-Based No-Touch Mechanism for
voting
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Calendar Merge-Up
Mechanism
JOIN can search the common available time for each user in
their calendar.
Meet-Up
Meet-UpMeet-Up
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Meet-Up
Meet-UpMeet-Up
Meet-Up
Meet-Up
Meet-Up
Allan Babara
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Meet-Up
Meet-UpMeet-Up
Meet-Up
Meet-Up
Meet-Up
Meet-Up
Meet-Up
Meet-Up
Meet-Up
Meet-Up Meet-Up
Meet-UpMeet-Up
Meet-Up
Meet-Up
Meet-Up
Option A
Meet-Up
Option B
Allan Babara
Charles Diana
Edward Felicia
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Calendar Merge-Up Mechanism
(Cont.)
• Finding longest common subsequence(LCS)
on MapReduce
• Mapper: Find LCS between two users
• Reducer: Combine the result
AACBBACD CBCBBACD CABDACA ACBDDCB
CBBACD ABD
AD
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Map Reduce Technique
• Windows Azure with MapReduce
….
Queue Storage
….
Queue Storage
….
Queue Storage
….
Queue Storage
Worker Role
#1
Worker Role
#2
Table
StorageWeb
RoleWeb Role
Worker Role
#3
Worker Role
#4
Work
Assignment
Work
Assignment
Work
Assignment
Map Reduce
[5] http://msdn.microsoft.com/zh-tw/windowsazure/ff721941
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Meet-Up Voting
Users can hold a
activity.
vote for destination
and time.
Server can also
proactively schedule
the Meet-Up
activity.
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Location Pushing-Up
Mechanism
Location Pushing Destination is pushed to each user with route planning.
Reservation Tickets
Rooms
Booking in personal Calendar Reminder
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Let’s meet here:
(24 N,120 E)
You are here
Let’s meet here
(24 N,120 E)
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Proximity-Based No-Touch
Mechanism for Voting
Using touch screens are not safe for
mobile phone users.
Applying proximity sensors to
initiate mobile applications without
the need of touching the screen
Integrate with cloud speech
recognition.
Proximity Sensor
[1] C. Y. Lin、Y. J. Chen、L. C. Wang and Y. C. Tseng, "Proximity-Based Speech Recognition in Mobile Cloud Computing, " 2nd International Workshop on MobileSensing (IPSN Workshop 2012)[2] C. Y. Lin、Y. J. Chen、L. C. Wang and Y. C. Tseng, " A No-Touch Mechanism to Initiate Mobile Applications on Smart Phones, " IEEE Vehicular TechnologyConference (VTC2012-Fall), September 2012.
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Proximity-Based No-Touch
Mechanism for Voting(cont.)
• Body language Translator
• Waving hands testing mechanism (WTM)
– A mechanism to differentiate taking phone from
waving hand.
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Performance Evaluation of
Proximity-Based No-Touch
Mechanism for Voting(cont.)Sensor Power consumption
Orientation sensor 9.7 mA
Magnetic field sensor 6.7 mA
Accelerometer 3.0 mA
Light sensor 0.5mA
Proximity sensor 0.5 mA
Mechanism Testing
Times
Error Times Error Rate
Without using
WTM
200 times 108 times 54%
Using WTM 200 times 2 times 1%
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Enhanced Location Privacy
Providing location security in LBS system with ODB
service model
IMSI-based pseudonym to secure the location data in
JOIN services Provable security
Less Power Consumption
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Used Techniques in
Database
Windows Azure Platform
Speech recognition server
Group scheduling server
Network Coding for
Location Privacy
IMSI-based JOIN secure
mechanism
VMs Load Balancing Queuing theoretical resource
prediction
JOIN Azure Cloud
Group/Location Information
Speech Recognition
Server
JOIN Group Scheduling
Server
Database
Recognition Pattern
[3] Y. J. Chen and L. C. Wang, "A Security Framework of Group Location-Based Mobile Applications in Cloud Computing, "Third International Workshop on
Security in Cloud Computing (CloudSec 2011)
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Conclusion
• Present enabling mechanisms of meet-up applications for
mobile phones, consisting of
– calendar merge-up and polling mechanism
– route information pushing-up mechanism
– proximity-based no-touch mechanism
Provide immediate and personalized social LBS information
to mobile phone customers.
Smartphones = gateway to the cloud, and the bridge of sensors
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Reference
[1] Y. T. Lee, L. C. Wang, and R. Gau," Implementation Issues of Proactive Location-Based Group Scheduling for Cloud Applications", in IEEE VTS Asia Pacific WirelessCommunications Symposium, 2010.
[2] C. Y. Lin、Y. J. Chen、L. C. Wang and Y. C. Tseng, "Proximity-Based SpeechRecognition in Mobile Cloud Computing, " 2nd International Workshop on MobileSensing (IPSN Workshop 2012)
[3] C. Y. Lin、Y. J. Chen、L. C. Wang and Y. C. Tseng, "A No-Touch Mechanism toInitiate Mobile Applications on Smart Phones, " IEEE Vehicular Technology Conference(VTC2012-Fall), September 2012.
[4] Y. J. Chen and L. C. Wang, "A Security Framework of Group Location-Based MobileApplications in Cloud Computing, "Third International Workshop on Security in CloudComputing (CloudSec 2011)
[5] http://msdn.microsoft.com/zh-tw/windowsazure/ff721941
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Thank you!