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TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
ISBN: 978 0 994365644
www.apiar.org.au
IMPROVED WI-FI SIGNAL QUALITY
INDICATOR USING WI-FI PERFORMANCE
OBSERVATION
Ahmad Tajuddin Samsudin, Mohd Shahril Saharedan,
Syaiful Nizam Yahya, Mohd Syafarees Ishak, Siti Salwa Said
Computational Sciences, Telekom Research & Development, Cyberjaya, Malaysia
Corresponding email: tajuddin@tmrnd.com.my
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
What is your choice?
A B C D
INTRODUCTION
) signal quality
in Wi-Fi connectivity
The majority of people will
tend to choose a full bar
((A)) to make an Internet
connection
But the signal quality
will not guarantee the
best Internet
experience
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
PERCEPTION
Typical perception in Wi-Fi :
High RSSI value = excellent Wi-Fi
performance
The perception not
always true :
can be denied by
radio frequency
disturbance from
electromagnetic
signals, congested
frequency and
congested traffic
Is your RSSI misleading you?
Excellent (above -56dBm) ; Good (between -55dBm & -69dBm) ; Poor (lower -68dBm)
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
INTERFERENCE
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
This paper proposed a new indicator and method to
determine the actual performance of received Wi-Fi signal.
Measured RSSI combined with Wi-Fi performance measures
(latency, loss) = predicted RSSI
SOLUTION
Customer can monitor the Wi-Fi performance against the actual
signal strength received by the device.
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
HYPOTHESES
Hypotheses:
(i) Hypothesis null 1 (H1) — there is no correlation between the RSSI and latency
(ii) Hypothesis null 2 (H2) — there is no correlation between the RSSI and packet loss
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
HYPOTHESES NULL REJECTED
Hypotheses: H1 & H2
The ANOVA regression analysis
of Figures 5(b) and 6(b)
showed that the Significance
value was 0.000 for both
regression analyses between
RSSI and latency, and RSSI
with packet loss. Since the p
value was lower than 0.05, we
rejected hypotheses H1 and H2.
We can conclude that there is
significant correlation
between the RSSI and latency
as well as RSSI and packet
loss.
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
EXPONENTIAL MODEL
From Figures 5(a) and 6(a), we plotted the exponential model:
y = e ^ (x.RSSI + Ln (Constant)) (1)
Exponential model for RSSI and Latency
x = (Ln(y) - 1.694)/(-0.012) (3)
Exponential model for RSSI and Loss
x = (Ln(y) + 16.186)/(-0.218) (4)
For example:
 If we want the x value corresponding to latency (y = 10 ms), using the above
model (3), we get x = (Ln 10 - 1.694) /(-0.012) = −50.72 dBm.
 If we want to predict the x value corresponding to packet loss (0.01%), using
the model (4), we get x = (Ln (0.01) + 16.186) /(-0.218) = −53.12dBm.
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
EXPERIMENT - SIGNAL INDICATOR
To prove that the signal quality indicator shown in Figure 1 may
mislead Wi-Fi customers, we conducted a simple experiment to show
that the full bar of the signal quality indicator [Figure 1(a)] is not
necessarily a good indicator of network performance.
This experiment was conducted in a controlled space of 10x10 meters.
Generally, we wanted to show the differences in Wi-Fi signal quality
and performance when using IEEE 802.11n technology where the
electromagnetic signal was generated to interfere with the connection
established between the device and the AP.
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
EXPERIMENT - RESULT
Condition 1 – microwave oven off
Condition 2 – microwave oven on
Condition 3 – microwave oven off
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
EXPERIMENT - DISCUSSION
RSSI in all three conditions is consistent and above -50dBm. These findings show
that the RSSI received by the laptop was not affected by the electromagnetic signal
produced by the microwave oven.
In Condition test 2 (Microwave ON), the customer knows that the Wi-Fi receiver
for the laptop and RG antenna works well because the actual RSSI is high, but the
indicator for Wi-Fi performance is one bar. This means that there are some issues
with Wi-Fi performance.
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
WHAT IS YOUR CHOICE?
A B C D
E F G H
TM Research & Development
5th Asia Pasific Conference on Advanced Research (APCAR, April 2017)
SUMMARY
RSSI value does misleads users sometimes.
There are factors that are not visible that disrupts
Wi-Fi signal.
The suggested indicator in this paper could
prompt the user minimize/eradicate unknown
interference source.
TM Research & Development
THANK YOU
14

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Is your RSSI misleading you?

  • 1. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) ISBN: 978 0 994365644 www.apiar.org.au IMPROVED WI-FI SIGNAL QUALITY INDICATOR USING WI-FI PERFORMANCE OBSERVATION Ahmad Tajuddin Samsudin, Mohd Shahril Saharedan, Syaiful Nizam Yahya, Mohd Syafarees Ishak, Siti Salwa Said Computational Sciences, Telekom Research & Development, Cyberjaya, Malaysia Corresponding email: tajuddin@tmrnd.com.my
  • 2. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) What is your choice? A B C D INTRODUCTION ) signal quality in Wi-Fi connectivity The majority of people will tend to choose a full bar ((A)) to make an Internet connection But the signal quality will not guarantee the best Internet experience
  • 3. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) PERCEPTION Typical perception in Wi-Fi : High RSSI value = excellent Wi-Fi performance The perception not always true : can be denied by radio frequency disturbance from electromagnetic signals, congested frequency and congested traffic Is your RSSI misleading you? Excellent (above -56dBm) ; Good (between -55dBm & -69dBm) ; Poor (lower -68dBm)
  • 4. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) INTERFERENCE
  • 5. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) This paper proposed a new indicator and method to determine the actual performance of received Wi-Fi signal. Measured RSSI combined with Wi-Fi performance measures (latency, loss) = predicted RSSI SOLUTION Customer can monitor the Wi-Fi performance against the actual signal strength received by the device.
  • 6. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) HYPOTHESES Hypotheses: (i) Hypothesis null 1 (H1) — there is no correlation between the RSSI and latency (ii) Hypothesis null 2 (H2) — there is no correlation between the RSSI and packet loss
  • 7. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) HYPOTHESES NULL REJECTED Hypotheses: H1 & H2 The ANOVA regression analysis of Figures 5(b) and 6(b) showed that the Significance value was 0.000 for both regression analyses between RSSI and latency, and RSSI with packet loss. Since the p value was lower than 0.05, we rejected hypotheses H1 and H2. We can conclude that there is significant correlation between the RSSI and latency as well as RSSI and packet loss.
  • 8. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) EXPONENTIAL MODEL From Figures 5(a) and 6(a), we plotted the exponential model: y = e ^ (x.RSSI + Ln (Constant)) (1) Exponential model for RSSI and Latency x = (Ln(y) - 1.694)/(-0.012) (3) Exponential model for RSSI and Loss x = (Ln(y) + 16.186)/(-0.218) (4) For example:  If we want the x value corresponding to latency (y = 10 ms), using the above model (3), we get x = (Ln 10 - 1.694) /(-0.012) = −50.72 dBm.  If we want to predict the x value corresponding to packet loss (0.01%), using the model (4), we get x = (Ln (0.01) + 16.186) /(-0.218) = −53.12dBm.
  • 9. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) EXPERIMENT - SIGNAL INDICATOR To prove that the signal quality indicator shown in Figure 1 may mislead Wi-Fi customers, we conducted a simple experiment to show that the full bar of the signal quality indicator [Figure 1(a)] is not necessarily a good indicator of network performance. This experiment was conducted in a controlled space of 10x10 meters. Generally, we wanted to show the differences in Wi-Fi signal quality and performance when using IEEE 802.11n technology where the electromagnetic signal was generated to interfere with the connection established between the device and the AP.
  • 10. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) EXPERIMENT - RESULT Condition 1 – microwave oven off Condition 2 – microwave oven on Condition 3 – microwave oven off
  • 11. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) EXPERIMENT - DISCUSSION RSSI in all three conditions is consistent and above -50dBm. These findings show that the RSSI received by the laptop was not affected by the electromagnetic signal produced by the microwave oven. In Condition test 2 (Microwave ON), the customer knows that the Wi-Fi receiver for the laptop and RG antenna works well because the actual RSSI is high, but the indicator for Wi-Fi performance is one bar. This means that there are some issues with Wi-Fi performance.
  • 12. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) WHAT IS YOUR CHOICE? A B C D E F G H
  • 13. TM Research & Development 5th Asia Pasific Conference on Advanced Research (APCAR, April 2017) SUMMARY RSSI value does misleads users sometimes. There are factors that are not visible that disrupts Wi-Fi signal. The suggested indicator in this paper could prompt the user minimize/eradicate unknown interference source.
  • 14. TM Research & Development THANK YOU 14