SlideShare a Scribd company logo
The key challenges with WLAN technology
Top Ten WLAN Challenges
Opportunities to Improve
Veli-Pekka Ketonen, CTO, 7signal
! Based on Veli-Pekka Ketonen’s presentation
! in May 2013 IEEE802.11HEW Study Group
Date: 2013-06-20
2
The key challenges with WLAN technology
In Wi-Fi / WLAN deployments, the quality of the user
experience faces challenges
2 Veli-Pekka Ketonen
• Users are demanding better Wi-Fi
• Users want to Bring Their Own Device
• Mobile workers wants access anytime,
from any place, and with any device
3
The key challenges with WLAN technology
Trying to achieve high maximum performance does
not always translate to a sufficient user experience*
• Capacity, range and end user experienced quality do not meet user needs
• EX: from University. Network configuration has greater impact than network vendor
• * = these are hourly average values from an area of multiple APs/SSID over a week time
3 Veli-Pekka Ketonen
4
The key challenges with WLAN technology
1. Too aggressive rate control, average retries often
exceed 50% (1/2)
• With 802.11n products, regularly
30-50% of packets require at least
one retry. Often even more.
Too high rate selected
A lot of retries,
multiplied by MIMO-X factor
High utilization
Lower SNR
More radio retries,
up to 7 times/packet
No air time & lost packets
Capacity and TCP throughput
collapse
4 Veli-Pekka Ketonen
5
The key challenges with WLAN technology
1. Too aggressive rate control, less aggressive has been proven
better (2/2)
• Individual network behavior also impacts
all other nearby networks
• 802.11ac has much more demanding
requirements than 802.11n
• Suggestions:
• Use less aggressive rate control
• Make rate control dynamic, adjusting
based on observed radio conditions (like
continuous Bluetooth)
• 802.11 to specify proper rate control
schemes, instead of leaving this to
vendors
RX-level during this part of the route: -70 – -88 dBm
Original link adaptation
Optimized link adaptation
-> Reason for improvement:
•Using more MCS-8 instead of MCS-9
RX-level
RX-level
Past findings from Nokia Networks
EDGE link adaptation (Public, Ref [1])
Throughput
Throughput
5 Veli-Pekka Ketonen
6
The key challenges with WLAN technology
2. Automated channel control algorithms
clearly need improvement
• Automated features, like
channel selection do not
work properly
• Continuous channel
hopping in the whole
network and no stable
state
• Impacts to surrounding
networks
• Suggestion:
• 802.11 to specify more in
more detail requirements
6 Veli-Pekka Ketonen
7
The key challenges with WLAN technology
3. Currently available radio settings are not
utilized since their impacts are not understood
• Radio should more accurately and
dynamically operate its settings, like
– Data rates; supported, default, control
– Management/control traffic data rates,
– Fragmentation process, MTU
– QoS
– Ack/block ack schemes usage
– Long/short pre-amble configuration
– RTS/CTS process
– Supported 802.11 standards
– Minimum limit for probe response
– Load balancing, etc
• Suggestions
– Performance management practices
– Automated operation
– 802.11 to specify in more detail
7 Veli-Pekka Ketonen
8
The key challenges with WLAN technology
4. Interference due to lack of channel coordination
and Bluetooth devices
• Channel plans are almost random in
public areas
– Resulting packet loss, jitter
• Proper radio operation in the mid-term
still requires significantly better channel
plans
• Suggestions
– Better, proven automated algorithms for
channel negotiation
– Cloud based control
– Regulation for allowed channels
– Better industry defaults
– Adhoc channel selection limited/guided
8 Veli-Pekka Ketonen
9
The key challenges with WLAN technology
5. Too dense beacon loads air unnecessarily
• In practice 100ms used globally with
1 Mbit/s as mandatory rate in
consumer grade APs. This congests
air significantly everywhere
• In 100ms, a person walking full
speed moves ~10 inches (~ 25cm).
Is this dense beaconing necessary?
• Suggestions
• Define default beacon intervals longer, ~300ms
• Dynamic/adaptive beaconing, beacon interval automatically dependent on the
observed time between roaming.
• Consider adding few % variance to beacon intervals to avoid continuously repeating
collisions (compare to spread spectrum CPU clocking for EMI reduction)
• Consider impact to power save functionality
9 Veli-Pekka Ketonen
10
The key challenges with WLAN technology
6. Mobile networks interfere 2.4 GHz band WLANs
through 3rd harmonic distortion
• When cellular network indoor antennas are near (30ft/10m) to WLAN APs and/or
clients, they may saturate the receiver with off band signals and receiver generates
distortion product that lands in the 2.4 GHz band
• Suggestion
– Add mandatory RF band-pass filtering to WLAN radios
– Receiver blocking test to FCC approval
2.4 GHz2.3 GHz2.2 GHz 2.5 GHz 2.6 GHz2.1 GHz2.0 GHz1.9 GHz1.8 GHz1.7 GHz
DCS-1800
(EUR, US)
PCS-1900 (EUR)
UMTS-1900 (US)
UMTS-2100 (EUR)
UMTS-1700 (US)
Distance appr. 300MHz
=> Harmonic distortion
lands at 300MHz
distance from source
WLAN
WLAN
signal
High power
mobile base
station signal
High power
mobile base
station signal
Ghost
signal
(noise)
=> Signal-to-noise ratio
degrades in WLAN receiver
and data transfer suffers
Verified to happen in
live network
conditions
10 Veli-Pekka Ketonen
11
The key challenges with WLAN technology
7. Support for legacy devices (802.11b/a)
seriously degrades benefits of new standards
• Protection mode is “contagious” and
highly inefficient
• Benefits of new standards are limited if
legacy devices are overprotected.
Important especially in consumer grade
equipment.
• Suggestions
– Better industry defaults
• 802.11b not supported
• 802.11a not supported
– Improvements to protection mode
– Prevent/limit protection mode spreading
with required minimum signal levels
11 Veli-Pekka Ketonen
12
The key challenges with WLAN technology
8. Lack of interoperability may take down entire
network performance
• Introduction of new radio devices
increases average retry rates to
about 70%. Max network capacity
came down at least 50%
• Suggestions
– More exact requirements needed
for client-AP interoperability
– Live network performance
management capabilities need to
improve. All scenarios cannot ever
be tested upfront.
12 Veli-Pekka Ketonen
13
The key challenges with WLAN technology
9. Modest access point antenna solutions
• Omni-antennas with significant vertical coverage are widely used
• RF energy goes where it should not go and antennas try to receive it
from directions where there are no clients
• Lacking antenna sophistication
– More gain towards users would benefit uplink quality
– Lack of antenna directivity creates more interference
• Suggestions
– Down-tilt beam patterns
• Fixed, “normal” antennas
• Electrically adjustable, like in mobile networks
– Wider use of beam steering
13 Veli-Pekka Ketonen
14
The key challenges with WLAN technology
10. Performance Management is completely missing
• With WLAN networks, commonly accepted fact is:
• “It is not necessary to continuously know what kind of service end users get from the network.
• If we manage to make it work once, there is no need continuously look at performance. It
• will take care of itself automatically. We will trouble shoot when end users complain.”
• This approach fundamentally prevents WLAN becoming a reliable media
• Mobile operators/telecom industry are used to manage networks based on
Meaningful Key Performance Indicators, KPIs, that accurately indicate and
predict User Experience (L1-L7) in the network. These are covered also in
standards. This is a good practice that should be brought to WLAN
• Beyond technology providing the required solutions, data and services,
even bigger change is required in attitudes.
14 Veli-Pekka Ketonen
15
The key challenges with WLAN technology
2-10x improvements can be achieved
Results: Controller Automation vs First Manual Optimization Round
• University campus, dense WLAN network
• 2.4 GHz downlink throughput improvement! ! ! Improvement
– Area 1 ! ! 7Mbit/s vrs. 25Mbit/s ! ! ! ! (+250%)
– Area 2 ! ! 5Mbit/s vrs. 15Mbit/s ! ! ! ! (+200%)
– Area 3 ! ! 8Mbit/s vrs. 16Mbit/s ! ! ! ! (+100%)
!
• 2.4 GHz uplink throughput improvement
– Area 1 ! ! 7Mbit/s vrs. 20Mbit/s ! ! ! ! (+180%)
– Area 2 ! ! 10Mbit/s vrs. 25Mbit/s ! ! ! (+150%)
– Area 3 ! ! 12Mbit/s vrs. 20Mbit/s ! ! ! (+65%)
• 2.4 GHz downlink Voice Quality (MOS grade, max 4.0) improvement
– Area 1 ! ! 2.6Mbit/s vrs. 3.5Mbit/s ! ! ! (+0.9 MOS)
– Area 2 ! ! 2.9Mbit/s vrs. 3.8Mbit/s ! ! ! (+0.9 MOS)
– Area 3 ! ! 2.5Mbit/s vrs. 3.5Mbit/s ! ! ! (+1.0 MOS)
• 2.4 GHz uplink Voice Quality (MOS grade, max 4.0) improvement
– Area 1 ! ! 3.5Mbit/s vrs. 3.8Mbit/s ! ! ! (+0.3 MOS)
– Area 2 ! ! 3.5Mbit/s vrs. 3.9Mbit/s ! ! ! (+0.4 MOS)
– Area 3 ! ! 2.5Mbit/s vrs. 3.5Mbit/s ! ! ! (+1.0 MOS)
• 2.4 GHz jitter daily averages before vrs. after
– Area 1! ! 9% vrs. 1% ! ! ! ! ! (- 89%)
– Area 2 ! ! 9% vrs. <<1%
! ! ! ! ! (> -90%)
– Area 3! ! 7% vrs. 1% ! ! ! ! ! (-85%)
• Hourly minimum measured downlink throughput values increase 10X
– Area1, Area 3! ! 0.2 Mbit/s vrs. 2.5 Mbit/s! (~1100%)
15 Veli-Pekka Ketonen
Thank You For Watching
www.7signal.com
16

More Related Content

What's hot

Wcdma RNO RF optimization
Wcdma RNO RF optimizationWcdma RNO RF optimization
Wcdma RNO RF optimization
Zineddine Menani
 
4 td lte(ᶺà¿-) (1)
4 td lte(ᶺà¿-) (1)4 td lte(ᶺà¿-) (1)
4 td lte(ᶺà¿-) (1)
mnajib171
 
8 wcdma rf optimization&case study-60
8 wcdma rf optimization&case study-608 wcdma rf optimization&case study-60
8 wcdma rf optimization&case study-60
Ba Quynh Nguyen
 
Cisco WLAN - Chapter. 04 : wireless topologies
Cisco WLAN - Chapter. 04 : wireless topologiesCisco WLAN - Chapter. 04 : wireless topologies
Cisco WLAN - Chapter. 04 : wireless topologies
Yaser Rahmati
 
F01 beam forming_srs
F01 beam forming_srsF01 beam forming_srs
F01 beam forming_srs
Luciano Motta
 
Nokia td lte-and_wimax_coexistence_and_migration
Nokia td lte-and_wimax_coexistence_and_migrationNokia td lte-and_wimax_coexistence_and_migration
Nokia td lte-and_wimax_coexistence_and_migration
mnajib171
 
Og 002 service flow of radio network planning issue1.1
Og 002 service flow of radio network planning issue1.1Og 002 service flow of radio network planning issue1.1
Og 002 service flow of radio network planning issue1.1
Ketut Widya
 
Rf network design
Rf network designRf network design
Rf network designNguyen Le
 
Optimisation project overview
Optimisation project overviewOptimisation project overview
Optimisation project overview
Emerson Eduardo Rodrigues Von Staffen
 
3G & Beyond: What Lies Ahead for Performance Management?
3G & Beyond: What Lies Ahead for Performance Management?3G & Beyond: What Lies Ahead for Performance Management?
3G & Beyond: What Lies Ahead for Performance Management?TTI Telecom
 
Updated-Resume-2015
Updated-Resume-2015Updated-Resume-2015
Updated-Resume-2015Jiliang Wang
 
Distributed Antenna Systems and Compact Base Stations: When to Use Which?
Distributed Antenna Systems and Compact Base Stations: When to Use Which?Distributed Antenna Systems and Compact Base Stations: When to Use Which?
Distributed Antenna Systems and Compact Base Stations: When to Use Which?
Frank Rayal
 
High Speed Networks for Today’s India
High Speed Networks for Today’s IndiaHigh Speed Networks for Today’s India
High Speed Networks for Today’s India
Sriram Damodharan
 
Og 103 test and analysis of gsm electromagnetic background issue1.0
Og 103 test and analysis of gsm electromagnetic background issue1.0Og 103 test and analysis of gsm electromagnetic background issue1.0
Og 103 test and analysis of gsm electromagnetic background issue1.0
Ketut Widya
 
Panduit Signature Core Fiber Optic Cabling System
Panduit Signature Core Fiber Optic Cabling SystemPanduit Signature Core Fiber Optic Cabling System
Panduit Signature Core Fiber Optic Cabling System
Panduit
 
Lte key technologies
Lte key technologiesLte key technologies
Lte key technologies
Abdulqader Al-kaboudei
 
WRAN
WRANWRAN
7signal PoC AvansUoAS
7signal PoC AvansUoAS7signal PoC AvansUoAS
7signal PoC AvansUoAS
7signal Solutions, Inc.
 
What is wlan?
What is wlan?What is wlan?
Wcdma dt analysis using TEMS Investigation
Wcdma dt analysis using TEMS InvestigationWcdma dt analysis using TEMS Investigation
Wcdma dt analysis using TEMS Investigation
Michael Ofili
 

What's hot (20)

Wcdma RNO RF optimization
Wcdma RNO RF optimizationWcdma RNO RF optimization
Wcdma RNO RF optimization
 
4 td lte(ᶺà¿-) (1)
4 td lte(ᶺà¿-) (1)4 td lte(ᶺà¿-) (1)
4 td lte(ᶺà¿-) (1)
 
8 wcdma rf optimization&case study-60
8 wcdma rf optimization&case study-608 wcdma rf optimization&case study-60
8 wcdma rf optimization&case study-60
 
Cisco WLAN - Chapter. 04 : wireless topologies
Cisco WLAN - Chapter. 04 : wireless topologiesCisco WLAN - Chapter. 04 : wireless topologies
Cisco WLAN - Chapter. 04 : wireless topologies
 
F01 beam forming_srs
F01 beam forming_srsF01 beam forming_srs
F01 beam forming_srs
 
Nokia td lte-and_wimax_coexistence_and_migration
Nokia td lte-and_wimax_coexistence_and_migrationNokia td lte-and_wimax_coexistence_and_migration
Nokia td lte-and_wimax_coexistence_and_migration
 
Og 002 service flow of radio network planning issue1.1
Og 002 service flow of radio network planning issue1.1Og 002 service flow of radio network planning issue1.1
Og 002 service flow of radio network planning issue1.1
 
Rf network design
Rf network designRf network design
Rf network design
 
Optimisation project overview
Optimisation project overviewOptimisation project overview
Optimisation project overview
 
3G & Beyond: What Lies Ahead for Performance Management?
3G & Beyond: What Lies Ahead for Performance Management?3G & Beyond: What Lies Ahead for Performance Management?
3G & Beyond: What Lies Ahead for Performance Management?
 
Updated-Resume-2015
Updated-Resume-2015Updated-Resume-2015
Updated-Resume-2015
 
Distributed Antenna Systems and Compact Base Stations: When to Use Which?
Distributed Antenna Systems and Compact Base Stations: When to Use Which?Distributed Antenna Systems and Compact Base Stations: When to Use Which?
Distributed Antenna Systems and Compact Base Stations: When to Use Which?
 
High Speed Networks for Today’s India
High Speed Networks for Today’s IndiaHigh Speed Networks for Today’s India
High Speed Networks for Today’s India
 
Og 103 test and analysis of gsm electromagnetic background issue1.0
Og 103 test and analysis of gsm electromagnetic background issue1.0Og 103 test and analysis of gsm electromagnetic background issue1.0
Og 103 test and analysis of gsm electromagnetic background issue1.0
 
Panduit Signature Core Fiber Optic Cabling System
Panduit Signature Core Fiber Optic Cabling SystemPanduit Signature Core Fiber Optic Cabling System
Panduit Signature Core Fiber Optic Cabling System
 
Lte key technologies
Lte key technologiesLte key technologies
Lte key technologies
 
WRAN
WRANWRAN
WRAN
 
7signal PoC AvansUoAS
7signal PoC AvansUoAS7signal PoC AvansUoAS
7signal PoC AvansUoAS
 
What is wlan?
What is wlan?What is wlan?
What is wlan?
 
Wcdma dt analysis using TEMS Investigation
Wcdma dt analysis using TEMS InvestigationWcdma dt analysis using TEMS Investigation
Wcdma dt analysis using TEMS Investigation
 

Similar to Top 10 Wi-Fi Challenges in Organizations

TechShanghai2016 - RF Front-End Module Roadmap and Handset Architecture Chall...
TechShanghai2016 - RF Front-End Module Roadmap and Handset Architecture Chall...TechShanghai2016 - RF Front-End Module Roadmap and Handset Architecture Chall...
TechShanghai2016 - RF Front-End Module Roadmap and Handset Architecture Chall...
Hardway Hou
 
High performance browser networking ch5,6
High performance browser networking ch5,6High performance browser networking ch5,6
High performance browser networking ch5,6
Seung-Bum Lee
 
Next Generation Wi-Fi – What 802.11ac Means to You
Next Generation Wi-Fi – What 802.11ac Means to YouNext Generation Wi-Fi – What 802.11ac Means to You
Next Generation Wi-Fi – What 802.11ac Means to You
FTRCommercial
 
Webinar NETGEAR - Linee guida per il disegno di una rete wireless a elevate p...
Webinar NETGEAR - Linee guida per il disegno di una rete wireless a elevate p...Webinar NETGEAR - Linee guida per il disegno di una rete wireless a elevate p...
Webinar NETGEAR - Linee guida per il disegno di una rete wireless a elevate p...
Netgear Italia
 
Implications of 4G Deployments (MEF for MPLS World Congress Ethernet Wholesa...
Implications of 4G Deployments (MEF for MPLS World Congress  Ethernet Wholesa...Implications of 4G Deployments (MEF for MPLS World Congress  Ethernet Wholesa...
Implications of 4G Deployments (MEF for MPLS World Congress Ethernet Wholesa...
Javier Gonzalez
 
Managing the Mobile Device Wave
Managing the Mobile Device WaveManaging the Mobile Device Wave
Managing the Mobile Device Wave
Cisco Canada
 
Cwte_Wi-Fii6-presentation_dec_7_2021
Cwte_Wi-Fii6-presentation_dec_7_2021Cwte_Wi-Fii6-presentation_dec_7_2021
Cwte_Wi-Fii6-presentation_dec_7_2021
Mayur Sarode
 
IRJET- Dynamic Adaption of DCF and PCF Mode of IEEE 802.11 WLAN
IRJET-  	  Dynamic Adaption of DCF and PCF Mode of IEEE 802.11 WLANIRJET-  	  Dynamic Adaption of DCF and PCF Mode of IEEE 802.11 WLAN
IRJET- Dynamic Adaption of DCF and PCF Mode of IEEE 802.11 WLAN
IRJET Journal
 
BICSI Wireless Presentation
BICSI Wireless PresentationBICSI Wireless Presentation
BICSI Wireless PresentationCam Lau PMP
 
Wlan IEEE 802.11
Wlan IEEE 802.11Wlan IEEE 802.11
Wlan IEEE 802.11
Adeel Mirza
 
Wi max
Wi maxWi max
PLNOG14 - Wireless Cloud, a new business for operators - Jochen Müdsam
PLNOG14 - Wireless Cloud, a new business for operators - Jochen MüdsamPLNOG14 - Wireless Cloud, a new business for operators - Jochen Müdsam
PLNOG14 - Wireless Cloud, a new business for operators - Jochen Müdsam
PROIDEA
 
2011 Broadband Tech Update to Electronic Engineers in the Philippines
2011 Broadband Tech Update to Electronic Engineers in the Philippines 2011 Broadband Tech Update to Electronic Engineers in the Philippines
2011 Broadband Tech Update to Electronic Engineers in the Philippines
Francisco "Cocoy" Claravall
 
Aerohive AP390 802.11ac Wireless Access Point
Aerohive AP390 802.11ac Wireless Access PointAerohive AP390 802.11ac Wireless Access Point
Aerohive AP390 802.11ac Wireless Access Point
Aerohive Networks
 
12 01-nowak motorola 4 g fcc tac dec00
12 01-nowak motorola 4 g fcc tac dec0012 01-nowak motorola 4 g fcc tac dec00
12 01-nowak motorola 4 g fcc tac dec00
anil kumar
 
Robulink AMI System Technology
Robulink AMI System TechnologyRobulink AMI System Technology
Robulink AMI System Technologyjessie968
 
4 g
4 g4 g
Bridge wave 4gwe-miami_02feb(3)
Bridge wave   4gwe-miami_02feb(3)Bridge wave   4gwe-miami_02feb(3)
Bridge wave 4gwe-miami_02feb(3)Carl Ford
 
Data Transmission Analysis using MW-5000 at 5.8 GHz Frequency
Data Transmission Analysis using MW-5000  at 5.8 GHz Frequency Data Transmission Analysis using MW-5000  at 5.8 GHz Frequency
Data Transmission Analysis using MW-5000 at 5.8 GHz Frequency
IJECEIAES
 
Maximizing Performance using 3.5 GHz Fixed Wireless Broadband
Maximizing Performance using 3.5 GHz Fixed Wireless BroadbandMaximizing Performance using 3.5 GHz Fixed Wireless Broadband
Maximizing Performance using 3.5 GHz Fixed Wireless Broadband
jerianasmith
 

Similar to Top 10 Wi-Fi Challenges in Organizations (20)

TechShanghai2016 - RF Front-End Module Roadmap and Handset Architecture Chall...
TechShanghai2016 - RF Front-End Module Roadmap and Handset Architecture Chall...TechShanghai2016 - RF Front-End Module Roadmap and Handset Architecture Chall...
TechShanghai2016 - RF Front-End Module Roadmap and Handset Architecture Chall...
 
High performance browser networking ch5,6
High performance browser networking ch5,6High performance browser networking ch5,6
High performance browser networking ch5,6
 
Next Generation Wi-Fi – What 802.11ac Means to You
Next Generation Wi-Fi – What 802.11ac Means to YouNext Generation Wi-Fi – What 802.11ac Means to You
Next Generation Wi-Fi – What 802.11ac Means to You
 
Webinar NETGEAR - Linee guida per il disegno di una rete wireless a elevate p...
Webinar NETGEAR - Linee guida per il disegno di una rete wireless a elevate p...Webinar NETGEAR - Linee guida per il disegno di una rete wireless a elevate p...
Webinar NETGEAR - Linee guida per il disegno di una rete wireless a elevate p...
 
Implications of 4G Deployments (MEF for MPLS World Congress Ethernet Wholesa...
Implications of 4G Deployments (MEF for MPLS World Congress  Ethernet Wholesa...Implications of 4G Deployments (MEF for MPLS World Congress  Ethernet Wholesa...
Implications of 4G Deployments (MEF for MPLS World Congress Ethernet Wholesa...
 
Managing the Mobile Device Wave
Managing the Mobile Device WaveManaging the Mobile Device Wave
Managing the Mobile Device Wave
 
Cwte_Wi-Fii6-presentation_dec_7_2021
Cwte_Wi-Fii6-presentation_dec_7_2021Cwte_Wi-Fii6-presentation_dec_7_2021
Cwte_Wi-Fii6-presentation_dec_7_2021
 
IRJET- Dynamic Adaption of DCF and PCF Mode of IEEE 802.11 WLAN
IRJET-  	  Dynamic Adaption of DCF and PCF Mode of IEEE 802.11 WLANIRJET-  	  Dynamic Adaption of DCF and PCF Mode of IEEE 802.11 WLAN
IRJET- Dynamic Adaption of DCF and PCF Mode of IEEE 802.11 WLAN
 
BICSI Wireless Presentation
BICSI Wireless PresentationBICSI Wireless Presentation
BICSI Wireless Presentation
 
Wlan IEEE 802.11
Wlan IEEE 802.11Wlan IEEE 802.11
Wlan IEEE 802.11
 
Wi max
Wi maxWi max
Wi max
 
PLNOG14 - Wireless Cloud, a new business for operators - Jochen Müdsam
PLNOG14 - Wireless Cloud, a new business for operators - Jochen MüdsamPLNOG14 - Wireless Cloud, a new business for operators - Jochen Müdsam
PLNOG14 - Wireless Cloud, a new business for operators - Jochen Müdsam
 
2011 Broadband Tech Update to Electronic Engineers in the Philippines
2011 Broadband Tech Update to Electronic Engineers in the Philippines 2011 Broadband Tech Update to Electronic Engineers in the Philippines
2011 Broadband Tech Update to Electronic Engineers in the Philippines
 
Aerohive AP390 802.11ac Wireless Access Point
Aerohive AP390 802.11ac Wireless Access PointAerohive AP390 802.11ac Wireless Access Point
Aerohive AP390 802.11ac Wireless Access Point
 
12 01-nowak motorola 4 g fcc tac dec00
12 01-nowak motorola 4 g fcc tac dec0012 01-nowak motorola 4 g fcc tac dec00
12 01-nowak motorola 4 g fcc tac dec00
 
Robulink AMI System Technology
Robulink AMI System TechnologyRobulink AMI System Technology
Robulink AMI System Technology
 
4 g
4 g4 g
4 g
 
Bridge wave 4gwe-miami_02feb(3)
Bridge wave   4gwe-miami_02feb(3)Bridge wave   4gwe-miami_02feb(3)
Bridge wave 4gwe-miami_02feb(3)
 
Data Transmission Analysis using MW-5000 at 5.8 GHz Frequency
Data Transmission Analysis using MW-5000  at 5.8 GHz Frequency Data Transmission Analysis using MW-5000  at 5.8 GHz Frequency
Data Transmission Analysis using MW-5000 at 5.8 GHz Frequency
 
Maximizing Performance using 3.5 GHz Fixed Wireless Broadband
Maximizing Performance using 3.5 GHz Fixed Wireless BroadbandMaximizing Performance using 3.5 GHz Fixed Wireless Broadband
Maximizing Performance using 3.5 GHz Fixed Wireless Broadband
 

Recently uploaded

Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
ThomasParaiso2
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
James Anderson
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 

Recently uploaded (20)

Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 

Top 10 Wi-Fi Challenges in Organizations

  • 1. The key challenges with WLAN technology Top Ten WLAN Challenges Opportunities to Improve Veli-Pekka Ketonen, CTO, 7signal ! Based on Veli-Pekka Ketonen’s presentation ! in May 2013 IEEE802.11HEW Study Group Date: 2013-06-20
  • 2. 2 The key challenges with WLAN technology In Wi-Fi / WLAN deployments, the quality of the user experience faces challenges 2 Veli-Pekka Ketonen • Users are demanding better Wi-Fi • Users want to Bring Their Own Device • Mobile workers wants access anytime, from any place, and with any device
  • 3. 3 The key challenges with WLAN technology Trying to achieve high maximum performance does not always translate to a sufficient user experience* • Capacity, range and end user experienced quality do not meet user needs • EX: from University. Network configuration has greater impact than network vendor • * = these are hourly average values from an area of multiple APs/SSID over a week time 3 Veli-Pekka Ketonen
  • 4. 4 The key challenges with WLAN technology 1. Too aggressive rate control, average retries often exceed 50% (1/2) • With 802.11n products, regularly 30-50% of packets require at least one retry. Often even more. Too high rate selected A lot of retries, multiplied by MIMO-X factor High utilization Lower SNR More radio retries, up to 7 times/packet No air time & lost packets Capacity and TCP throughput collapse 4 Veli-Pekka Ketonen
  • 5. 5 The key challenges with WLAN technology 1. Too aggressive rate control, less aggressive has been proven better (2/2) • Individual network behavior also impacts all other nearby networks • 802.11ac has much more demanding requirements than 802.11n • Suggestions: • Use less aggressive rate control • Make rate control dynamic, adjusting based on observed radio conditions (like continuous Bluetooth) • 802.11 to specify proper rate control schemes, instead of leaving this to vendors RX-level during this part of the route: -70 – -88 dBm Original link adaptation Optimized link adaptation -> Reason for improvement: •Using more MCS-8 instead of MCS-9 RX-level RX-level Past findings from Nokia Networks EDGE link adaptation (Public, Ref [1]) Throughput Throughput 5 Veli-Pekka Ketonen
  • 6. 6 The key challenges with WLAN technology 2. Automated channel control algorithms clearly need improvement • Automated features, like channel selection do not work properly • Continuous channel hopping in the whole network and no stable state • Impacts to surrounding networks • Suggestion: • 802.11 to specify more in more detail requirements 6 Veli-Pekka Ketonen
  • 7. 7 The key challenges with WLAN technology 3. Currently available radio settings are not utilized since their impacts are not understood • Radio should more accurately and dynamically operate its settings, like – Data rates; supported, default, control – Management/control traffic data rates, – Fragmentation process, MTU – QoS – Ack/block ack schemes usage – Long/short pre-amble configuration – RTS/CTS process – Supported 802.11 standards – Minimum limit for probe response – Load balancing, etc • Suggestions – Performance management practices – Automated operation – 802.11 to specify in more detail 7 Veli-Pekka Ketonen
  • 8. 8 The key challenges with WLAN technology 4. Interference due to lack of channel coordination and Bluetooth devices • Channel plans are almost random in public areas – Resulting packet loss, jitter • Proper radio operation in the mid-term still requires significantly better channel plans • Suggestions – Better, proven automated algorithms for channel negotiation – Cloud based control – Regulation for allowed channels – Better industry defaults – Adhoc channel selection limited/guided 8 Veli-Pekka Ketonen
  • 9. 9 The key challenges with WLAN technology 5. Too dense beacon loads air unnecessarily • In practice 100ms used globally with 1 Mbit/s as mandatory rate in consumer grade APs. This congests air significantly everywhere • In 100ms, a person walking full speed moves ~10 inches (~ 25cm). Is this dense beaconing necessary? • Suggestions • Define default beacon intervals longer, ~300ms • Dynamic/adaptive beaconing, beacon interval automatically dependent on the observed time between roaming. • Consider adding few % variance to beacon intervals to avoid continuously repeating collisions (compare to spread spectrum CPU clocking for EMI reduction) • Consider impact to power save functionality 9 Veli-Pekka Ketonen
  • 10. 10 The key challenges with WLAN technology 6. Mobile networks interfere 2.4 GHz band WLANs through 3rd harmonic distortion • When cellular network indoor antennas are near (30ft/10m) to WLAN APs and/or clients, they may saturate the receiver with off band signals and receiver generates distortion product that lands in the 2.4 GHz band • Suggestion – Add mandatory RF band-pass filtering to WLAN radios – Receiver blocking test to FCC approval 2.4 GHz2.3 GHz2.2 GHz 2.5 GHz 2.6 GHz2.1 GHz2.0 GHz1.9 GHz1.8 GHz1.7 GHz DCS-1800 (EUR, US) PCS-1900 (EUR) UMTS-1900 (US) UMTS-2100 (EUR) UMTS-1700 (US) Distance appr. 300MHz => Harmonic distortion lands at 300MHz distance from source WLAN WLAN signal High power mobile base station signal High power mobile base station signal Ghost signal (noise) => Signal-to-noise ratio degrades in WLAN receiver and data transfer suffers Verified to happen in live network conditions 10 Veli-Pekka Ketonen
  • 11. 11 The key challenges with WLAN technology 7. Support for legacy devices (802.11b/a) seriously degrades benefits of new standards • Protection mode is “contagious” and highly inefficient • Benefits of new standards are limited if legacy devices are overprotected. Important especially in consumer grade equipment. • Suggestions – Better industry defaults • 802.11b not supported • 802.11a not supported – Improvements to protection mode – Prevent/limit protection mode spreading with required minimum signal levels 11 Veli-Pekka Ketonen
  • 12. 12 The key challenges with WLAN technology 8. Lack of interoperability may take down entire network performance • Introduction of new radio devices increases average retry rates to about 70%. Max network capacity came down at least 50% • Suggestions – More exact requirements needed for client-AP interoperability – Live network performance management capabilities need to improve. All scenarios cannot ever be tested upfront. 12 Veli-Pekka Ketonen
  • 13. 13 The key challenges with WLAN technology 9. Modest access point antenna solutions • Omni-antennas with significant vertical coverage are widely used • RF energy goes where it should not go and antennas try to receive it from directions where there are no clients • Lacking antenna sophistication – More gain towards users would benefit uplink quality – Lack of antenna directivity creates more interference • Suggestions – Down-tilt beam patterns • Fixed, “normal” antennas • Electrically adjustable, like in mobile networks – Wider use of beam steering 13 Veli-Pekka Ketonen
  • 14. 14 The key challenges with WLAN technology 10. Performance Management is completely missing • With WLAN networks, commonly accepted fact is: • “It is not necessary to continuously know what kind of service end users get from the network. • If we manage to make it work once, there is no need continuously look at performance. It • will take care of itself automatically. We will trouble shoot when end users complain.” • This approach fundamentally prevents WLAN becoming a reliable media • Mobile operators/telecom industry are used to manage networks based on Meaningful Key Performance Indicators, KPIs, that accurately indicate and predict User Experience (L1-L7) in the network. These are covered also in standards. This is a good practice that should be brought to WLAN • Beyond technology providing the required solutions, data and services, even bigger change is required in attitudes. 14 Veli-Pekka Ketonen
  • 15. 15 The key challenges with WLAN technology 2-10x improvements can be achieved Results: Controller Automation vs First Manual Optimization Round • University campus, dense WLAN network • 2.4 GHz downlink throughput improvement! ! ! Improvement – Area 1 ! ! 7Mbit/s vrs. 25Mbit/s ! ! ! ! (+250%) – Area 2 ! ! 5Mbit/s vrs. 15Mbit/s ! ! ! ! (+200%) – Area 3 ! ! 8Mbit/s vrs. 16Mbit/s ! ! ! ! (+100%) ! • 2.4 GHz uplink throughput improvement – Area 1 ! ! 7Mbit/s vrs. 20Mbit/s ! ! ! ! (+180%) – Area 2 ! ! 10Mbit/s vrs. 25Mbit/s ! ! ! (+150%) – Area 3 ! ! 12Mbit/s vrs. 20Mbit/s ! ! ! (+65%) • 2.4 GHz downlink Voice Quality (MOS grade, max 4.0) improvement – Area 1 ! ! 2.6Mbit/s vrs. 3.5Mbit/s ! ! ! (+0.9 MOS) – Area 2 ! ! 2.9Mbit/s vrs. 3.8Mbit/s ! ! ! (+0.9 MOS) – Area 3 ! ! 2.5Mbit/s vrs. 3.5Mbit/s ! ! ! (+1.0 MOS) • 2.4 GHz uplink Voice Quality (MOS grade, max 4.0) improvement – Area 1 ! ! 3.5Mbit/s vrs. 3.8Mbit/s ! ! ! (+0.3 MOS) – Area 2 ! ! 3.5Mbit/s vrs. 3.9Mbit/s ! ! ! (+0.4 MOS) – Area 3 ! ! 2.5Mbit/s vrs. 3.5Mbit/s ! ! ! (+1.0 MOS) • 2.4 GHz jitter daily averages before vrs. after – Area 1! ! 9% vrs. 1% ! ! ! ! ! (- 89%) – Area 2 ! ! 9% vrs. <<1% ! ! ! ! ! (> -90%) – Area 3! ! 7% vrs. 1% ! ! ! ! ! (-85%) • Hourly minimum measured downlink throughput values increase 10X – Area1, Area 3! ! 0.2 Mbit/s vrs. 2.5 Mbit/s! (~1100%) 15 Veli-Pekka Ketonen
  • 16. Thank You For Watching www.7signal.com 16