the internet of people & things: what will 5g-enabled ... coyle 5g summit.pdf · –current:...

The Internet of People & Things: What will 5G-Enabled

Applications Look Like?

Ed Coyle J.B. Peatman Distinguished Professor

and Director of the VIP ProgramSchool of Electrical & Computer Engineering

5G: What are the Applications?

Acknowlegdements:• Dr. Randal Abler, Co-Director of VIP• The eStadium + Intelligent Digital Communications

VIP Teams at Georgia Tech• Graduate Students:

– Current: Deepa Phanish, Paul Garver– Prior: Seksan Laitrakun, Ghaith Matalkah, Aaron Ault,

Perron Jones, Xusheng Sun, Murat Senel, Seema Bandyopadhyay, Vibhav Kapnadak

• Georgia Tech Athletics• Prof. Attahiru Alfa

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What is a Fifth Generation Network?Technology, systems, and services to provide:

– Bandwidth as Needed: • Wired and Wireless

– Low Latency whenever Needed• For any Real-Time Application

– Adaptability and Programmability• Software Definable Networks• Cognitive Radio• Adaptive Spatial Reuse/Resolution• Etc.


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Enablers• MIMO/Collaborative Wireless• All-Optical Networks• Clouds, Edge Clouds• Smarter Protocols• Cognitive Networks• Wearables• New Spectrum• Etc.

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Massive, Wearable MIMO!


Fashion Forward MIMO!

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5/11/2017 7Full Connectivity of People and Things


What are the Applications?• My Toaster fights with your Toaster?• My Flying Car Hogs the Sky?• AI Assistants or Opponents?• Holographic Home Intruders?• Mobile 4K Alternative Reality?• Amazon/Echo controls your Subconcious?

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We don’t have to make things up!


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Football Game at Bobby Dodd StadiumOur Internet of Things (IoT) Testbed


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VIP Teams: eStadium + Intelligent Digital Comm.

eStadium Team, 2013


A Game has Everything!• 60,000 Fans in < km2

• Media Companies Capturing Game Events• Mobile to 4K Video Consumption• Security, Anti-Terror, Medical, etc. Services• 70,000 Wireless Devices, 500,000 Sensors• Cellular+DAS, WiFi, Bluetooth, ZigBee, etc• 10 Gbps Connection to the Internet• Concession Stands

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Our Goals:• Develop All/New Sources of Information

– Sense the Game– Sense the Venue– Sense the Crowd– Sense the RF Spectrum

• Connect Everything and Everybody– Game Info to Fans, Fan Reactions to Game Info– People + Venue linking with People + Venue– Monitor Spectrum, Venue, Surroundings

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Internet

Web and Video Servers

Video and Data Capture

People + Information: In-Stadium Web-Apps:

Video clips, stats, drive tracker on your phone during a game: http://estadium.gatech.edu


Stadium-IoT Wireless:• WiFi–Mesh for easy installation in old stadiums• 802.11a Backbone; b,g,n for Fan Access

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Internet

eStadium Server

GatewayMesh Node

(3 Aps)

Mesh Node

(3 APs)


Stadium-IoT Wireless Sub-ProjectA WiFi Mesh Node: 3 APs per node

One 802.11a Backhaul; Two 802.11b,g,n for Fans

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Sensor Net Sub-Project: Few wired gateways Many sensor motes 6-month football season Supports many applications

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Sensing Tasks: Vibration, Audio, Spectrum Sensors vary node-to-node Processing tasks differ Energy varies node-to-node

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SENSOR

WSN NODE

INSIDEA NODE

MSP-430, CC-2520, BATTERIES


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Sensor Net CHRF-SN1

RF Sensor Node and Vibration-Net Clusterheadon top of Concessions Area in North Stands


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SensorNets Server

Sensor Net Architecture

CH USRP USRP

500 MHz TV-White Space Backhaul Link

• 40~50 Sensor Motes• 10~12 ClusterHeads• Cognitive Radio Backhaul• <125μsec Synchronization


Structural Vibration Monitoring at Stadium


Structural Vibrations Events in a Football Game


RF-Spectrum Sensing Nodes3 of 8 deployed so far

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RF-Spectrum Monitoring for:• Spectrum Management• Localization of Emitters

• Our 8 Sensors• Many Emitters• Known APs• Known Protocols


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Football Game at Bobby Dodd StadiumOur Internet of Things (IoT) Testbed


A Nice Stochastic Model • 100,000 Wireless Sensing Devices (Nodes)

arranged in a grid (stadium seating) in a 1 km2 area λ nodes/unit-area

• Each one participates with probability p, chosen randomly and independently

• The set of participating nodes form a Spatial Poisson Process in the stadium of intensity pλ

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An Interesting Application/Goal• Sensor Fusion: Use Info. from All Nodes• Collection Must be Energy Efficient• Limited Transmission Range (Bluetooth)• Allow Aggregation or Else all Packets of

Data have to Hop all the Way to Fusion Center

• Aggregation Clustering, Voronoi Cells, and Stochastic Geometry

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Interesting Application/Goal• Fast Selection of Clusterhead• Truncation of Voronoi Cells to Limit Delay• How to Optimally Cluster given

– Node Density– Transmission range

• Are Multiple Levels of Clustering Optimal?• Account for Different Aggregation Factors at

Each Level5/11/2017 28


Seema: Clustering in Poisson Process

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Deepa: Aggregation

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Another Interesting Research Idea• Clusters may have Many Nodes• Collecting Data from All of Them Takes Time

– Shared Communication Channel– Random Access Protocol (Bluetooth, WiFi)

• If you have Limited Time to Make Decision– Collect ONLY from Nodes that Have Good Data

• How Do You Do This?

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Population Splitting Algorithm• Detection Algorithms use a Likelihood

Ratio Test• Each Node Computes its Likelihood Ratio• Clusterhead Broadcasts Request for all

Likelihood Ratios between Bounds• Only Nodes with LRs that Meet that

Criterion Transmit, Reducing Contention• Collect “Largest” LRs, Next Largest, etc

until Time Runs Out5/11/2017 32


Seksan: Splitting-based Dist. Detection• Know/Learn Distribution of Likelihood Ratio• Choose Population Splits that Minimize

Fusion Error as Function of Collection Time• Pick Number of Splits of Collection Time T:

Call it M• Compare to TDMA with Users Ransmitting in

Random Order• Use ARE to Compare TDMA to Splitting

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Questions and Suggestions?

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Thank You!Ed Coyle, [email protected]

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