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ITU Kaleidoscope 2016 ICTs for a Sustainable World Fast-forward poster session >> Martin Adolph ITU Bangkok, Thailand 14-16 November 2016 ITU Kaleidoscope 2016 ICTs for a Sustainable World Adaptive Video Streaming Over HTTP Using


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ITU Kaleidoscope 2016

ICTs for a Sustainable World

Fast-forward poster session >>

Martin Adolph ITU

Bangkok, Thailand 14-16 November 2016

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ITU Kaleidoscope 2016

ICTs for a Sustainable World

Adaptive Video Streaming Over HTTP Using Stochastic Bitrate Prediction in 4G Wireless Networks

Dhananjay Kumar Anna University, India dhananjay@annauniv.edu

Bangkok, Thailand 14-16 November 2016

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Motivation and Proposed Solution Framework

  • Stochastic

Prediction Approach

  • Auto Regressive

Integrated Moving Average (ARIMA) Model

Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World

  • Fig. Bitrate Observed in a 4G Cellular Wireless Network (Airtel 4G LTE-TD Hotspot)
  • Fig. Architecture Diagram

) 1 ( 1 1 / 1 1 ' L d Li p i i Li q i i X tp                            

) 1 ( 1 1

/ '

L d Li p i i            

 

where

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Implementation Results

Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World 0.8 0.82 0.84 0.86 0.88 0.9 0.92 0.94 0.96 0.98 1 2 3 4 5 6 7 8 9 10 SSIM FRAME # ABBA HDR BSR

  • Fig. The SSIM index

0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 1 2 3 4 5 6 7 8 9 10 VQM FRAME # ABBA FDR BSR

  • Fig. The VQM index

5 10 15 20 25 30 35 40 1 2 3 4 5 6 7 8 9 10 A-PSNR (dB) FRAME # ABBA FDR BSR

  • Fig. Aligned-PSNR values

0.76 0.78 0.8 0.82 0.84 0.86 0.88 1 2 3 4 5 6 7 8 9 10 MS-SSIM FRAME # ABBA BSR HDR

  • Fig. The Multi Scale SSIM index
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Acknowledgements

Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World

  • 1. The University Grants Commission

(UGC), India

  • 2. Anna University, India
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ITU Kaleidoscope 2016

ICTs for a Sustainable World

ASSESSING INTERNET PERFORMANCE OVER MOBILE NETWORKS: FROM THEORY TO PRACTICE

Eneko Atxutegi University of the Basque Country eneko.atxutegi@ehu.eus

Bangkok, Thailand 14-16 November 2016

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  • Reduced deployments are

hardly capable of reproducing the coverage that is present in real base stations, causing an unrealistic good quality at any position.

  • Found that under exactly

same conditions, different UEs report a way different CQI to the eNodeB.

Experimentation stair (I)

Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World Experimentation level Pros Cons Simulated environment

  • Repeatability
  • Cheapest option
  • Parameters gathering
  • Synthetic fadings
  • Faked UEs
  • Hard modeling

Emulated testbed

  • Real UEs
  • Easy LTE configuration
  • Radio info. collection
  • Statistics required
  • No real movement

Controlled deployment

  • Real movement
  • Ad-hoc patterns
  • Air transmission
  • Speed/space

limitation Real-world deployment

  • Real speeds
  • Real patterns
  • Ability to study realism
  • Limited

parameters study

  • Data quota
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Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World

Experimentation stair (II)

  • Micro-effects could not be presented as equal among the

different deployments (example of Hybrid Slow-Start’s deficiency on mobile networks under high delay variability).

  • However, the macroscopic view of some behavior could be

found and double-checked along the different steps (example

  • f some CCAs’ features).
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ITU Kaleidoscope 2016

ICTs for a Sustainable World

Systematic Analysis of Geo- location and Spectrum Sensing as Access Methods to TV White Space

Antoine Bagula University of the Western Cape abagula@uwc.ac.za

Bangkok, Thailand 14-16 November 2016

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Developed world vs. developing world

  • Use of TV radio frequency spectrum is

different.

–Intensively used in the developed world.

  • Preferred method of TVWS in the developed

world: –Geo-location database.

  • Preferred method of TVWS in the

developing world: ???

  • Visit my poster to learn more.

Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World

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ITU Kaleidoscope 2016

ICTs for a Sustainable World

Task-based process modeling for policy making in smart cities

Leonidas Anthopoulos TEI of Thessaly, Greece lanthopo@teilar.gr

Bangkok, Thailand 14-16 November 2016

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Grounding the problem

  • RQ1: do existing smart city standards provide guidelines for

city’s energy efficiency policy making?

  • RQ2: how can smart city energy efficiency policy making be

modeled and standardized?

  • Approach:

– Standardize the policy making process for city’s energy efficiency – Map the policy making process: Task-Based Modeling (TBM) method – Experimenting in cities under the project InSmart (Integrative Smart City Planning)

Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World

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The Standardized Process

  • Reference framework
  • Energy demand sources
  • Energy supply sources
  • Scenarios definition

(alternative policies)

  • Scenarios execution

(calculation with model)

Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World

  • Scenarios’
  • utcomes:

policies’ estimated performance

  • Criteria:
  • 1. Implementation Cost
  • 2. Implementation Cost Efficiency
  • 3. Energy savings
  • 4. Operation and Maintenance Cost
  • 5. Revenue Production
  • 6. Ease of Implementation
  • 7. City’s Quality of Life Improvement
  • 8. City’s Economic Development Improvement
  • 9. Social Acceptance
  • Multi-criteria

Decision Making Process

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The Standardized Process (TBM)

Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World

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ITU Kaleidoscope 2016

ICTs for a Sustainable World

Cloud-based Patient Prioritization as Service in Public Health care

Antoine Bagula University of the Western Cape abagula@uwc.ac.za

Bangkok, Thailand 14-16 November 2016

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Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World

  • Technology can help improve public health in both

developed and developing countries.

– It can help developing countries to leapfrog from poorly equipped to medically prepared nations. – It can also help minimize the impact of some of the most vicious epidemic attacks such as Ebola.

  • Some of these technologies include:

– IoT/Sensor – AI/Machine Learning – Cloud computing – Communication – Solar/Wind

  • We have been testing these five technologies for

Patient prioritization in the developing countries.

  • Visit my poster to learn more.

Cloud-based Patient Prioritization As Service in Public Health care

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ITU Kaleidoscope 2016

ICTs for a Sustainable World

Fast-forward poster session >>

Meet and discuss with the authors: 1400-1530 @ ITU-T Pavilion

Bangkok, Thailand 14-16 November 2016

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ITU Kaleidoscope 2016

ICTs for a Sustainable World

Fast-forward poster session >>

Meet the authors: 1400-1530 @ ITU-T