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Concurrent Video and Data Streaming using IEEE 802.11ac. Final Capstone Presentation Team # 5. Aesha Parikh Akhilesh Tinniyam Kannan Nilay Parikh Sree Sagar Raghavendra. Industry Advisor: John Blakely Principal Wireless Architect CenturyLink , Inc. Faculty Advisor:

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concurrent video and data streaming using ieee 802 11ac

Concurrent Video and Data Streaming using IEEE 802.11ac

Final Capstone Presentation

Team # 5

Aesha Parikh

AkhileshTinniyamKannan

Nilay Parikh

SreeSagarRaghavendra

Industry Advisor:

John Blakely

Principal Wireless Architect

CenturyLink, Inc.

Faculty Advisor:

Dr. Thomas Schwengler

Adjunct Instructor, EE Department

University of Colorado Boulder

introduction
Introduction

Background

  • Increase in number of wireless clients in residential networks
  • Higher quality of experience demanded by users
  • Concurrent video and data streaming requirements
  • 802.11n: Current state-of-the-art
  • Large number of devices operating in 2.4GHz
  • 802.11ac: Proposed technology
  • 5GHz: Free and clear spectrum

References:

  • “802.11ac In-Depth,” WP_80211acInDepth_041414, Aruba Networks, Inc., Sunnyvale, CA, 2014.
  • “Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2013–2018,” Cisco.
introduction1
Introduction

Statement of Problem

introduction2
Introduction

Research Question

  • Is 802.11ac a practical replacement for 802.11n for video and data distribution in a residential setting to address the performance issues of 802.11n?
  • Are 802.11ac devices capable of simultaneously handling HD (High Definition) live video, VOD (Video on demand), and data streams while ensuring good quality of experience?

Subproblems

  • Satisfying QoS requirements for concurrent video and data streams
  • Number of simultaneous data and video clients supported
  • Throughputs achieved for TCP and UDP streams at different ranges in a residential setting
introduction3
Introduction

Extending the state-of-the-art | Novelty of research

  • Previous research has shown that 802.11n fails for concurrent video and data streaming inside residential network
  • Test case to support the large-scale roll-out of 802.11ac for this application
  • 802.11ac has inherent advantages over 802.11n at the PHY and MAC layer (Channel size, Modulation, Beamforming)
  • 802.11ac provides high throughputs to multiple clients, unlike 802.11n
  • Test results to support the use of UDP as the transport protocol for video streams inside a residential network

References:

  • V. Vora and T. Brown, “High rate video streaming over 802.11n in dense Wi-Fi environments,” in 2010 IEEE 35th Conference on Local Computer Networks (LCN), pp. 1054–1061, 2010.
  • M. Gast, 802.11ac: A Survival Guide. O’Reilly Media, Incorporated, 2013.
introduction4
Introduction
  • Successful project: Test results validates the research hypothesis
  • One of the first works that focus on detailed testing for concurrent video and data streaming using 802.11ac
  • Submitted paper to IEEE PIMRC conference (September 2014)
test setup
Test Setup

Test Parameters

  • 802.11ac Access Point – Carrier grade
  • Number of transmitting antenna – 4
  • Channel width – 80MHz
  • Channel number – 157
  • Number of iterations of each test – 10
  • Duration of each test – 60 seconds (IETF Recommended)
test setup1
Test Setup

Test location 1

  • Discovery Learning Center – University of Colorado Boulder
  • Emulating residential setting Over-The-Air (OTA)
  • Ixia’s IxChariot 7.30 | Xeon E-5 2600 Servers | 802.11ac AP

Test location 2

  • CenturyLink, Inc. – Littleton, CO
  • RF isolated chamber | Lab environment | Copper meshed walls
  • IxiaVeriwave chassis | WaveQOE to generate traffic profiles
test setup2
Test Setup

Test locations

research methodology and results
Research Methodology and Results

Test 1: SLA Test - Setup

  • Testing the performance of 802.11ac and 802.11n while conforming to stringent SLA requirements
  • Maps to the first subproblem
  • 20 clients emulating a residential network
  • Protocols emulated: TCP, UDP, VoIP, RTP, RTPVideo
research methodology and results1
Research Methodology and Results

Test 1: SLA Test – Results

802.11n 802.11ac

research methodology and results2
Research Methodology and Results

Test 2: Maximum Client Test - Setup

  • Identifying the maximum number of clients supported while satisfying SLA requirements
  • Maps to the second subproblem
  • The number of clients incremented linearly from 20 clients
  • Heavily dependent on the DUT (Device Under Test)

Test 2: Maximum Client Test - Results

  • Maximum of 28 clients satisfied SLA for the DUT
  • Simultaneous transmission of multiple protocols like FTP, UDP, TCP, VoIP, and RTPVideo
research methodology and results3
Research Methodology and Results

Test 3: Rate vs. Range Test - Setup

  • Testing the effect of distance on the throughput of 802.11ac and 802.11n devices
  • Maps to the third subproblem
  • RSSI levels ranging from -45dBm to -75dBm

Test 3: Rate vs. Range Test - Results

research methodology and results4
Research Methodology and Results

Test 3: Rate vs. Range Test - Results

discussion of results
Discussion of Results
  • Latency (13.2ms) and Jitter (1.5ms) satisfy IEEE specified SLA (20ms) and maintains a high QoE for the users (0 packets lost)
  • Supports potential increase in the number of clients and rise in bandwidth requirements
  • High throughputs values (400Mbps – 800Mbps) obtained at various RSSI levels within a residence
  • Exposes the incompetence of 802.11n for the targeted application
conclusion
Conclusion
  • This presentation shows the throughput and QoS statistics for 802.11ac and 802.11n
  • Test results support the use of UDP as a transport protocol for video streams in a residential WLAN
  • 802.11ac is a practical replacement for 802.11n for concurrent video and data streaming
  • 802.11ac can be widely deployed to provide better QoE for the users
future research
Future Research
  • This research can be used as a reference for 802.11ac testing
  • Use of 160MHz channel when available
  • Usage of MU-MIMO, which can further enhance the results
  • Extension of this application for an enterprise setting
  • Testing the impact of various codec algorithms on video bitrates
acknowledgement
Acknowledgement

Dr. Thomas Schwengler

John Blakely

Dr. Tim Brown

Dr. David Reed

Jose Santos

Mark Dehus

ZubinIngah

Tony Bieniek

Bernie McKibben

Steve Glennon

VikasSarawat

NeeharikaAllanki

Charles Cook

Drumeel Thakkar

slide19

Thank You Group 5

TLEN 5710 CapstoneUniversity of Colorado Boulder