Fast-forward poster session >> Martin Adolph ITU Bangkok, - - PowerPoint PPT Presentation
Fast-forward poster session >> Martin Adolph ITU Bangkok, - - PowerPoint PPT Presentation
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
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
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
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
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
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
- 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
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).
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
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
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
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
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
The Standardized Process (TBM)
Bangkok, Thailand, 14-16 November 2016 ITU Kaleidoscope 2016 - ICTs for a Sustainable World
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
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.