Next Generation Cognitive Networking - Google Groups

Next Generation Cognitive Networking

Dr. Syed Ali Raza Zaidi Signal Processing and Communications Research Group School of Electrical and Electronics Engineering

University of Leeds, U.K.

Acknowledgment

In next 15 mins…

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5G Challenges Avalanche of

Traffic Volume Further expansion of mobile broadband

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Massive growth in

Connected Devices “Communicating machines”

Use cases & Requirements Device-to-Device Communications

Additional traffic due to communicating machines

“1000x in ten years”

Large diversity of

Car-to-Car Comm.

“50 billion devices in 2020”

New requirements and characteristics due to communicating machines

Courtesy: METIS 2020

Requirements

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5G High Performance Applications

Public Safety IoT/M2M

Courtesy: Agilent Technologies

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5G- Design Pillars Energy Efficiency

Interoperability/ Co-existence

Self-organizing

Spectral Agility

Security, trust and privacy

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Pillar#1

Spectral Agility

The 1000x Challenge & CRs

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Solution

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First Generation CRs

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Guard zone

Power control

Medium Access MIMO

Without CSI

With CSI

Cognitive Underlay

Transmit Power Multiple Antenna

Interference Engineering Cognitive Interweave Spectrum Sensing Matched Filter

Cooperative Detection

Energy Detector

5G Landscape & Second Generation CR Networks Spectral Agility Network Densification

Resource Efficiency Coordination

Fluid/Elastic User Centric Networks Maximize Utilization Zero CAPEX and OPEX

Big data Reconfiguration User Plane

VAS Control Plane Heterogenity Scissor’s effect

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Big data domain

Elastic Network Architecture EE meter

Security Policies

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Traffic Engineering

C-Application Domain User Preference

Access Control

Object Referencing

User QoS Perception

SDN Controller Substrate

Data Plane

Distributed

Logically Centralized

U- Application Domain

Het Control Plane

QoS/QoE

Wired Backhaul mmWave Backhaul

Sleeping Small cell

Active Small cell SDN Controller Small cell

U-Plane Big data & ICN

Source: NICT http://www.nict.go.jp/en/info/topics/2014/12/141217-1.html

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Emerging Area #1

Big Social Data & 5G Wireless Communication

Top 10 Strategic Technology Trends

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Courtesy: Gartner

Context Rich Systems: Ubiquitous embedded intelligence combined with pervasive analytics.

Context Rich Systems

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Microsoft AR App Augmented Reality

Context Awareness

LocationAwareness

Advertisements

Public Safety Comms

Interface Awareness

Spectrum & Technology

D2D

WiFi

Social Connection

Social Awareness

LTE-Direct & WiFi-Direct

Zigbee

Proactive content caching Recommender Systems

User Profiling Augmented Gaming

Cellular

SigFOX

Emerging Topics in Context Rich Systems • Joint Social-Physical Network Design

Is Joint Design Really Worth It? Mao et al. “Joint Social-Position Relationship Based Cooperation Among Mobile Terminals”, IEEE Communication Letter 2015.

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Emerging Topics in Context Rich Systems • D2D Communication

Chen et al. “Exploiting Social Ties for Cooperative D2D Communications: A Mobile Social Networking Case”, IEEE ACM ToN 2013.

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Emerging Topics in Context Rich Systems • Proactive Content Caching

Edgar Bastug et al. “Living on the Edge: The Role of Proactive Caching in 5G Wireless Networks ”, IEEE Wireless Comms 2015.

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Emerging Topics in Context Rich Systems • Proactive Content Caching

Edgar Bastug et al. “Living on the Edge: The Role of Proactive Caching in 5G Wireless Networks ”, IEEE Wireless Comms 2015.

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Emerging Area #2

Information Centric Cellular Networks

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Rising to meet the 1000x Challenge

Information Centric Networking

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• Promoting content to first class citizenship • It does not matter where content comes from? • It does matter what content is?

• Separating the content from IP and URLs • User does not care if video is retrieved from VEMO or Youtube; • Content and Context Awareness Embedded in Networking; • Receiver driven content retrieval vs. sender driven end-to-end architecture;

In Network Caching • 90-10 Principle • 10 percent of the objects are accessed 90 percent of time; • Content accessed in asynchronous way; • Disparity between content generation and consumption; • Demand predictability • Spatio-temporal locality; • What,when and where; • QoE/QoS variability for video type content • Delay tolerance; • Variable quality; • Best effort service

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Challenges Selection of Unified Metrics

Modelling and Dimensioning of Cache Enabled Networks

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Modelling and Dimensioning of Cellular

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Networks Modeling and Forecasting Spatio-temporal

Reconfiguration and SON compliant protocol stacks

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Dynamics of Object Referencing Design of Low latency real time big data parsing and machine learning techniques

Obstacles & Solutions

S. A. Zaidi, M. Ghogho, D. C. McLernon, “Information Centric Modeling of Twotier Cache Enabled Cellular Networks”, Backnets, ICC 2015.

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Objectives

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Content Access Model

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Independent Referencing Model (IRM)

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Information Centric Coverage

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Desired Bit Rate, the popularity and the Size?

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Impact of Densification?

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Cache Size?

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Key Highlights

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Open Issues? What about spatio-temporal locality of accessed objects? How realistic is IRM?

Coordination and gains? Interference alignment, CoMP, Network DAS?

Proactive Caching: Learning, Content Eviction and Update Strategies? Transmission coordination awareness?

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Reference Locality

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Poisson Point Process based Spatial Locality Correlation? Chen et al. “Cache-enabled Small Cell Networks with Local User Interest Correlation”, SPAWC 2015

More Realistic Models? Ali et al. “Understanding Optimal Caching and Opportunistic Caching at “The Edge” of Information-Centric Networks”, SIGCOM ICN 2014. Wired vs. Wireless Networks?

Closeness to Reality

Tractability

Trade-off

Coordination Cache-aware Coordinated Multipoint Transmission Zaidi et al. “Information Centric CoMP for Cellular Networks”, to be Submitted to IEEE Communication Letters, 2015

Deghel et al. “On the Benefits of Edge Caching for MIMO Interference Alignment”, SPAWC 2015.

Cache-aware Interference Alignment

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Emerging Area #3

Energy Efficiency through Harvesting

IEEE Communication Magazine, July 2015

Natural vs. Synthesized Sources

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IEEE Communication Magazine, July 2015

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Network Self-Sustainability?

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10-12 hours

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Emerging Area #4

Control Plane in Big Data Era

Control Plane in Big-data Era Stream Quality

Service Success Rates

Handover Rates

Link Quality

Call Setup and Success Rates IP Flow Rate

RSRP RSRQ

Signalling overhead

IP throughput

Backhaul Utilization

Neighbourhood Lists

Handoff triggers

Call Data Record Tariff

CQI

File Popularity

Thermal Noise

Cache Strategy

Security and Authentication

Radio Config

Cell Load

PRB Utilization Fault Data

Alarm Triggers

Session drops

Service Setup times

Activity profile

Data delivery Success Rates

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XDR

Alarm Logs

CRM Antenna Config

Billing

Big-data Enabled SON SON for Antenna Down-tilting Optimization

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Big-data Enabled SON

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SON for Antenna Tilting: Approach Stochastic Geometric Modeling

Optimal Average Down-tilt

Online topology and traffic specific optimization

Additional Interference in HetNets?

Solution: Dynamic Guard Zone

Raul Hernandez-Aquino, Syed Ali Raza Zaidi, Des McLernon, and Mounir Ghogho, “Tilt Angle Optimization in Two-tier Cellular Networks - A Stochastic Geometry approach” to appear in IEEE Transaction on Communications, 2015

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Future Directions • ICN Empowered Design of Elastic Networks for 5G • Dealing with the heterogeneity • Cross operator interoperability • Standardization of reconfigurable protocols • Definition of reference Big data architecture • Development of interaction interfaces • Scalability and reliability issues • Loss of throughput due to real-time processing • International compliance and compatibility • Timeline for activities • Alliance with IEEE BD initiative.

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Thank you Email: [email protected]