Doc.: IEEE 802.19-04/0018r0 Submission May 2004 Steve Shellhammer, Intel CorporationSlide 1 IEEE...
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Transcript of Doc.: IEEE 802.19-04/0018r0 Submission May 2004 Steve Shellhammer, Intel CorporationSlide 1 IEEE...
![Page 1: Doc.: IEEE 802.19-04/0018r0 Submission May 2004 Steve Shellhammer, Intel CorporationSlide 1 IEEE 802.19 Wireless Coexistence TAG Steve Shellhammer shellhammer@ieee.org.](https://reader035.fdocuments.us/reader035/viewer/2022062620/551b07065503465e7d8b5acd/html5/thumbnails/1.jpg)
May 2004
Steve Shellhammer, Intel CorporationSlide 1
doc.: IEEE 802.19-04/0018r0
Submission
IEEE 802.19Wireless Coexistence TAG
Steve Shellhammer
An Analytic Coexistence Assurance Model
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May 2004
Steve Shellhammer, Intel CorporationSlide 2
doc.: IEEE 802.19-04/0018r0
Submission
An Analytic CA Model• Make reasonable approximations of PHY
and MAC layers.• Provide a method of predicting the impact
of interference in a timely manner.• Not a detailed model intended to predict
absolute performance of either system.• Is intended to predict relative impact of
interference.• Only considering non-hoppers at this point• Intended as a first-order approximation.
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May 2004
Steve Shellhammer, Intel CorporationSlide 3
doc.: IEEE 802.19-04/0018r0
Submission
Model of Interferer• Interferer sends pulses• When transmitting a pulse the interferer
is models in the frequency domain as band-limited white noise of power PT
fc fc + B/2fc - B/2
PT
B
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May 2004
Steve Shellhammer, Intel CorporationSlide 4
doc.: IEEE 802.19-04/0018r0
Submission
Model of Interferer
• Based on our knowledge of the interferer traffic the temporal model of the interferer is a stochastic process of pulses. Need to consider various models.– Distribution of pulse durations– Distribution of spacing between pulses
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May 2004
Steve Shellhammer, Intel CorporationSlide 5
doc.: IEEE 802.19-04/0018r0
Submission
Model of Interferer
• Pulse TP duration is a random variable
• Space TS between pulses is a random variable.
TP TS TP TPTS
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May 2004
Steve Shellhammer, Intel CorporationSlide 6
doc.: IEEE 802.19-04/0018r0
Submission
Example of Pulse Model
• The interferer is sending TCP IP packets.• There is an AP far away sending ACK
packets. So we don’t consider this an interferer.
• Throughput is about half the data rate.• TP = 1.0 ms• TS is a uniform RV
– TS = U(30, 1300) us
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May 2004
Steve Shellhammer, Intel CorporationSlide 7
doc.: IEEE 802.19-04/0018r0
Submission
Path Loss Model
• Some standard path loss model will be recommended, like the one used in 802.15.2.
• Other path loss models could be used.• Give a topology of devices you can
determine the interference power at the receiver based on path loss model.pl(d) = path loss in dB, with d in meters.
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May 2004
Steve Shellhammer, Intel CorporationSlide 8
doc.: IEEE 802.19-04/0018r0
Submission
Topology of Wireless Devices
• One possible topology
Transmitter
ReceiverSystem ANetwork Under Test
System BInterferer
d
Does not interfere dueto distance from NUT
PrimaryInterferer
Is not interfered with due todistance from interferers
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May 2004
Steve Shellhammer, Intel CorporationSlide 9
doc.: IEEE 802.19-04/0018r0
Submission
Receiver Model
• Model receiver filter as an ideal brick wall filter, as far as interference goes.
• The portion of the interfering signal that is within the passband of the receiver filter is pass though undisturbed
• Any portion of the interfering signal outside the filter passband is eliminated entirely.
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May 2004
Steve Shellhammer, Intel CorporationSlide 10
doc.: IEEE 802.19-04/0018r0
Submission
Receiver Model
Interferer PSDat Receiver
Receiver Filter
NI
1
NI
• Noise after the receiver filter is the same height as before the filter, but possibly a smaller bandwidth
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May 2004
Steve Shellhammer, Intel CorporationSlide 11
doc.: IEEE 802.19-04/0018r0
Submission
Bit Error Rate• It is assumed that there is formula for
BER for the receiver in AWGN.ber() = BER versus SNR for AWGN.
• There are two periods of stationarity when we want to calculate the BER (which will help us get PER)– During a portion of the received packet
when there is no interference during the packet
– During a portion of the received packet when there is no interference during the packet
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May 2004
Steve Shellhammer, Intel CorporationSlide 12
doc.: IEEE 802.19-04/0018r0
Submission
Bit Error Rate
• BER when there is no interference is based on thermal noise.
• Since this is not very high we can– Assume it is very low– Or set up realistic topology and calculate
BER
• Since absolute performance is not a primary concern method one is recommended.
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May 2004
Steve Shellhammer, Intel CorporationSlide 13
doc.: IEEE 802.19-04/0018r0
Submission
Bit Error Rate
• BER when interference is present is based on equivalent AWGN.
• Pick AWGN level that would give equivalent power after the receiver filter.
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May 2004
Steve Shellhammer, Intel CorporationSlide 14
doc.: IEEE 802.19-04/0018r0
Submission
Bit Error Rate
Receiver Filter1
NI
BF
BAF
NI
BAF
BAF
BF( )
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May 2004
Steve Shellhammer, Intel CorporationSlide 15
doc.: IEEE 802.19-04/0018r0
Submission
Effective AWGN• Power after receiver is NI BAF
• To get the same power after filter we have to have,
Neff BF = NI BAF
• The issue is that the interfere may not be as wide as filter. So we are dropping the PSD and widening the bandwidth
• This is another approximation
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May 2004
Steve Shellhammer, Intel CorporationSlide 16
doc.: IEEE 802.19-04/0018r0
Submission
Bit Error Rate Summary
• We now have a method to calculate the BER when there is no interference and when there is interference.
• Calculate Eb from path-loss
• With no interference use N0
• With interference use Neff
• Can also add N0 to Neff
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May 2004
Steve Shellhammer, Intel CorporationSlide 17
doc.: IEEE 802.19-04/0018r0
Submission
Packet Error Rate
• A packet in the network under test (NUT) is sent from transmitter to the receiver. There is a (possible) overlap between that packet and an interfering pulse.
TD
T
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May 2004
Steve Shellhammer, Intel CorporationSlide 18
doc.: IEEE 802.19-04/0018r0
Submission
Probability Analysis
• Calculate probability density function for the random variable T. (Work still to be done).
• T is a mixed random variable. There will be a finite probability that T is zero, and some density function over the interval (0,TD)
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May 2004
Steve Shellhammer, Intel CorporationSlide 19
doc.: IEEE 802.19-04/0018r0
Submission
Probability Density of T
• An example of a PDF for T
fT(t)½
0 TD
1/(2T)
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May 2004
Steve Shellhammer, Intel CorporationSlide 20
doc.: IEEE 802.19-04/0018r0
Submission
Packet Error Rate
• Step 1– Calculate PER for a fixed value of T
• Step 2– Average over all values of T using the
previously calculated PDF for T
• Step 3– If necessary, average over packet duration,
TD, assuming it is variable
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May 2004
Steve Shellhammer, Intel CorporationSlide 21
doc.: IEEE 802.19-04/0018r0
Submission
Other Metrics
• Calculate other metrics based on PER and necessary approximations (e.g. independence)– Throughput– Latency– Packet Loss Rate (assuming a fixed time
to complete transmission)– Other
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May 2004
Steve Shellhammer, Intel CorporationSlide 22
doc.: IEEE 802.19-04/0018r0
Submission
Conclusions
• Outlined an approach to analytic solution.
• Next steps– Work out technique for determining PDF of
collision time.– Write up document giving details.– Apply to an example and use for
comparison with other techniques.