LTE World Summit 2012 Cttc panel how-can-wireless-networks-be-optimised

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Panel Discussion How can Wireless Networks be Best Optimized?

Mischa Dohler Josep Mangues Christian Ibars Nicola Baldo Albert Sitjà Thursday 24th May 2012

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Corporate presentation 1/4

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Corporate presentation 2/4

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Corporate presentation 3/4

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Corporate presentation 4/4

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4G projects and beyond

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Questions to introduce speakers

Panel Discussion How can Wireless Networks be Best Optimized?

http://ws.lteconference.com/masterclass-day-2/

• What is the best way to support the high capacity densities and high throughputs per user of next generation networks? Mischa Döhler

• How will femtocell technologies accelerate the cost-effective provision of ubiquitous broadband? Josep Mangues

• What are the technical challenges for LTE to become the leading technology in the M2M market? Christian Ibars

• Which tools can be used for the design and development of Self Organized Network solutions? Nicola Baldo

10 Times Beyond LTE-A Business Case, Technologies, Challenges

Mischa Dohler Head of [IQe] @ CTTC

Barcelona, Spain

LTE Panel Discussion

24 May 2012

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IMT-Advanced versus Reality

IMT-A capacity targets [ITU-R M.2133]:

• 2.2b/s/Hz for downlink and 1.4b/s/Hz for uplink in urban deployment

• supported rate is thus maximal 100Mbps/km2 (500m cell size; 40MHz)

Capacity needs (reality check):

• peak density of 8,000 people/Km2

• of which only 10% subscribe to the broadband service

• of which only 20% require access at the same time

• each requiring 5Mbps

City Average

People/Km2

Athens 5,400

Madrid 5,200

London 5,100

Barcelona 4,850

Warsaw 4,300

Naples 4,100

Berlin 3,750

Paris 3,550

Vienna 3,400

8,000 X 10% X 20% X 5Mbps = 800 Mbps/Km2

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Air Interface versus

Architecture

Increase in capacity over past decades:

• Martin Cooper: doubled every 30 months over past 100 years

• overall: million-fold increase in capacity since 1957

Breakdown of these gains:

• 5 x PHY; 25 x spectrum; 1600 x reduced cells, 5 x rest

Breakdown of (estimated) cost:

Reduced Cells MHz

Reduced Cells MHz PHY

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1Gbps/km2 Architecture [2/2]

Cost-efficient mixture of L/LE/60GHz wireless technologies:

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1Gbps/km2 Simulation Results

40 MHz bandwidth & 4 beams achieve 1Gbps/km2 capacity density:

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From Theory to Prototyping

ALVARION’s SISO & CTTC’s MIMO Access BSs:

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From Prototyping to

Standards

ETSI TC BRAN, TR 101 534:

• Alvarion, CTTC, Polska Telefonia Cyfrowa, Siklu, Thales

• "Very high capacity density BWA networks; System architecture, economic

model and technical requirements“

• Standard document approved in Q1 2012

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From Standards to Practice

Tel Aviv live deployments in April 2012:

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Concluding Remarks

Operator’s capacity challenge today and for next years:

capacity requirements are far off reality

except for order-of-magnitude PHY, rather work on architecture

infrastructure cost is major driver since ROI margins tighten

management becomes major problem, SON is a must

1Gbps/Km2 architecture with the following properties...

… LTE(-A) & WiMAX-agnostic architecture

... anytime and everywhere in urban environments

… cost-efficient to operators, service providers, users

… spectrally efficient using both licensed and exempt bands

... autonomous operation facilitating deploy & forget experience

Josep Mangues-Bafalluy

IP Technologies Area coordinator

Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

On broadband evolved femtocell

network deployment challenges

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BeFEMTO System Architecture

BeFEMTO System Architecture

BeFEMTOTransport Architecture

BeFEMTOEPS Architecture

3GPP EPS Architecture

Fixed Broadband AccessArchitecture (e.g. TISPAN or BBF)

HeNB NodeArchitecture

LFGW NodeArchitecture

Broadband evolved FEMTO Networks INFSO-ICT-248523 http://www.ict-befemto.eu

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All-wireless Network of Femtocells

• Fast deployment of femtocells

• Application: conference halls, shopping malls, airports, stadiums ...

• Multi-hop wireless communication to gateway towards the core.

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Wireless small cell backhauls

• Adaptive traffic load

balancing for efficient

wireless resource

consumption based on

network conditions

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SON in networks of femtocells • Local location management

• IP flow management policies in HetNets

• Self-organized Radio Resource Management

• Machine learning-based power allocation

Stage 1 Stage 2 Stage 3 Stage 4

Small TAs for slow

and static UEs

Larger TAs for

medium-to-fast UEs

• Real-time FPGA-based prototyping

of a Femto-cell interference

management scheme

• Multi-user LTE-based PHY-layer

implementation

Christian Ibars

Access Technologies Coordinator – CTTC

Technical Challenges for

Viable M2M Systems over LTE

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Evolving Toward M2M

• M2M represents largest growth opportunity for LTE

• LTE will eventually replace 2G solutions leading the market

• LTE is primarily designed for human data communications

• LTE M2M solution will

• Be based on new technical solutions

• Require new business models

• Compete and complement with other access technologies (WSN,

Satellite, other WAN standards)

The CTTC is actively pursuing new solutions for M2M systems

over LTE within the European Integrated Project EXALTED

Application

Server Middleware Network Modem Asset

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Heterogeneous application requirements

Heterogeneous terminal capability

Coverage

Energy constraints

Short messages

High scalability

Security for critical applications

Technical Challenges

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Technical Solutions

Segmentation of M2M services High end: based primarily on LTE modems

Low end: new technologies to reduce cost

significantly

Energy efficient terminals Aggressive duty cycle

Reduced bandwidth

Reduced signaling for low mobility

terminals

Energy harvesting

Offloading to local network

Efficient and robust device management

protocols

Distributed security algorithms

Small packet access Random Access over data channel

HARQ, collective ACK

Coverage extension through Improved link budget

Relaying and capillary extensions

Physical layer redesign – lower ACM

modes

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LTE M2M Architecture

Nicola Baldo

nicola.baldo@cttc.es

The LENA project:

an open source product-oriented

LTE/EPC Network Simulator

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Design & development strategies for

Self Organized Network Algorithms

• Simulation

Fast & cheap prototyping

Scalable and repeatable experiments

abstract models, sometimes far from reality

hard to bring the design to product stage

• Testbed

Realistic evaluation

Easier to bring the design to product stage

Expensive and time consuming

Poor scalability and reproducibility

Can we get the best of both?

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The LENA project: an open source product-oriented

LTE/EPC Network Simulator

• CTTC is working with Ubiquisys

on the development of LENA,

a simulation platform for LTE/EPC

• Objective:

allow LTE femto/macro cell vendors

to design and test SONs algorithms

before deployment

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The LENA project: an open source product-oriented

LTE/EPC Network Simulator

• Product-oriented:

• designed around the Small Cell Forum MAC

Scheduler API Specification

• Allows testing real code in simulation

• Accurate model of the LTE/EPC protocol stack

• Specific Channel and PHY layer models for LTE

macro and small cells

• Open source:

• Development open to the community

• Free and open source licensing (GPLv2)

• Fosters early adoption and contributions

• Makes model more trustable

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The LENA project: an open source product-oriented

LTE/EPC Network Simulator

Possible target applications for LENA include:

• DL & UL Scheduler design

• Radio Resource Management Algorithm design

• Inter-cell interference coordination

• Heterogeneous networks (HetNets)

• Joint Radio and Backhaul Network Management

• End-to-end QoE evaluation

• Multi-RAT networks

• Cognitive LTE systems

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Thanks for your kind attention!

• Questions?

Mischa Dohler http://www.cttc.es/en/home/mdohler

Josep Mangues http://www.cttc.es/en/home/jmangues

Christian Ibars http://www.cttc.es/en/home/cibars

Nicola Baldo http://www.cttc.es/en/home/nbaldo

Albert Sitjà http://www.cttc.es/en/home/asitja