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doc.: IEEE 802.11-13/0728r1 Submission Slide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki July 2013 N am e A ffiliations A ddress Phone em ail W illiam Carney Sony Electronics 16530 V ia Esprillo, San D iego, CA 92127 +1-858- 774-9865 william.carney@ am.sony.com Kåre A gardh Sony M obile N ya V attentornet 221 88 Lund Sw eden +46 (10) 801-3618 kare.agardh@ sonymobile.com H ideyukiSuzuki Sony Corporation 2-10-1 O saki Shinagaw a-ku, Tokyo, 141-8610 +81 (50) 3750- 2715 [email protected]

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Page 1: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission Slide 1

Network Optimization for Expected HEW Traffic Patterns

Date: 2013-07

Name Affiliations Address Phone email William Carney Sony

Electronics 16530 Via Esprillo, San Diego, CA 92127

+1-858-774-9865

[email protected]

Kåre Agardh Sony Mobile Nya Vattentornet 221 88 Lund Sweden

+46 (10) 801-3618

[email protected]

Hideyuki Suzuki Sony Corporation

2-10-1 Osaki Shinagawa-ku, Tokyo, 141-8610

+81 (50) 3750-2715

[email protected]

Authors:

W.Carney, K.Agardh,

H.Suzuki (Sony)

July 2013

Page 2: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission

Abstract

This presentation discusses the need for optimization of HEW networks for both video services and bursty data with short packets.

To account for high QoE for these expected traffic types, we suggest two criteria for the evaluation of HEW proposals.

July 2013

Slide 2 W.Carney, K.Agardh, H.Suzuki (Sony)

Page 3: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission

Data Traffic PatternsWhat kind of data will flow through HEW networks?• Video

– Expected to drive the main data volume • “Two-thirds of the world’s mobile data traffic will be video by 2017”

– Support video traffic in both UL and DL

• Social networking, including OTT (e.g. Skype, Facebook) and IMS– Always active background traffic– Minor part of total data volume– Including Voice over IMS (VoLTE / VoWiFi)

• Web– Bursty data of all sizes– Real time (E.g. WebRTC) and non-real time applications (Browsing)

July 2013

Slide 3 W.Carney, K.Agardh, H.Suzuki (Sony)

Ref: Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012–2017

Page 4: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission

Video Content Characteristics

• Display resolution increase in all CE devices– E.g., support for 4K & 8K/Ultra-HD by time of HEW completion

• Video typically uses the available bandwidth to increase resolution/fps and decrease compression losses

• Active session during a defined time period • Utilizing full Ethernet frames 1500B• Allows long aggregated frames• Allows buffering• Short transport level ACKs in opposite direction

July 2013

W.Carney, K.Agardh, H.Suzuki (Sony)Slide 4

Page 5: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission

VoIP (OTT and IMS) Characteristics

• Voice over 3GPP and 802.11 will be seamless• Packet inter arrival times typ. 20 - 40 ms• Packet sizes 35-70 Bytes for VoIP• High latency requirements• Frames can not be aggregated• Data can not be buffered• Small raw data volume, but high number of individual

packets

July 2013

W.Carney, K.Agardh, H.Suzuki (Sony)Slide 5

Page 6: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission

Web Traffic Packet Size Distribution

Figure shows distribution of UL and DL packet size for random web browsingRef: Anatomy of Wi-Fi Access Traffic of Smartphones and Implications for Energy Saving Techniques, R Palit et al.

Research and network statistics show that a large part of traffic is <100 Bytes.

For example transport ACKs, web browsing and social networking traffic

July 2013

W.Carney, K.Agardh, H.Suzuki (Sony)Slide 6

Page 7: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission

Burst Size per Traffic Type

Distribution of UL burst size

Ref: Anatomy of Wi-Fi Access Traffic of Smartphones and Implications for Energy Saving Techniques, R Palit et al.

Looking at bursts of packets• For all traffic types, absolute majority of UL bursts are < 1500 Bytes• Social networking (like voice, Skype, Facebook) bursts are < 100 Bytes• UL video expected to increase, so no clear asymmetry between STA and

Infrastructure

Distribution of DL burst size

July 2013

W.Carney, K.Agardh, H.Suzuki (Sony)Slide 7

Page 8: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission

Data Traffic Patterns - Conclusions

Data characteristics• Video

– Causes the main data volume in one direction– Small ACK packets in the other direction– Similar network requirements, regardless of the data direction

• Social networking, including IMS– Always active background traffic– Minor part of total data volume, but major amount of data packets– Streaming real time voice and video disallows buffering and

aggregation

July 2013

Slide 8 W.Carney, K.Agardh, H.Suzuki (Sony)

Page 9: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission

Evaluation Criteria:Summary and Next Steps

• HEW system must prioritize not only maximizing capacity for bulk data and high throughput, but also highest efficiency for short packets <100 Bytes– Comparison/evaluation of header overhead and efficiency of

packet sequencing/prioritization

• Capabilities of MAC protocol proposals need to be demonstrated for a distribution of packet sizes and bursts, not only 1500 Bytes– An appropriate network traffic model is needed

July 2013

Slide 9 W.Carney, K.Agardh, H.Suzuki (Sony)

Page 10: Doc.: IEEE 802.11-13/0728r1 SubmissionSlide 1 Network Optimization for Expected HEW Traffic Patterns Date: 2013-07 Authors: W.Carney, K.Agardh, H.Suzuki

doc.: IEEE 802.11-13/0728r1

Submission

References

Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012–2017 http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862.pdf

Anatomy of WiFi Access Traffic of Smartphones and Implications for Energy Saving Techniques http://www.sersc.org/journals/IJEIC/vol3_Is1/1.pdf

VoLTE_Deployment_and_the_Radio_Access_Network http://www.spirent.com/~/media/White%20Papers/Mobile/VoLTE_Deployment_and_the_Radio_Access_Network.pdf

July 2013

Slide 10 W.Carney, K.Agardh, H.Suzuki (Sony)