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What is Retransmiss ion, ARQ and HARQ? the best possible performance of the system.
So, let's see a little about it?
Eb and No
To begin, we define the basic concepts of Eb and No. They are basic for any digital communication
system, and generally we talk about it when we deal with Bit Error Rate and also Modulation techniques.
Simply put:
Eb: Bit Energy.
It represents the amount of energy per bit.
No: Noise Spectral Density.
Unit: Watts/Hz (or mWatts/Hz)
Which brings us to the classic definition of Eb/No:
Eb/No: Bit Energy on the Spectral Noise Density.
Unit: dB
It did not help much, does it?
Do not worry. Indeed, only with the theoretical definition is still very difficult to see how this ratio is
used, or how it can be measured.
But okay, let's walk a little further.
Okay, so how is Eb/No measured?
To understand how this ratio c an be measured, let's imagine a simple digital communication system.
The ratio Eb/No is measured at the receiver, and serves to indicate how strong the signal is.
Depending on the modulation technique used (BPSK, QPSK, etc.) we have different curves for Bit Error
Rate x Eb/No.
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These curves are used as follows: for a certain RF signal, which is the bit errors rate that I have? Is this
bit error rate acceptable for my system?
Whereas the gain that digital has, then we can set a minimum criterion of signal to noise ratio, in order
to have each service (Voice/Data) operating acceptably.
In other words, we can theoretically determine how the performance would be for the digital link.
Note: it is worth remembering here that this is a very complex subject. As always, we try to introduce to
you the most simplified possible through the use of examples and simple concepts. Okay?
For example, a concept that could be explored here - since we are talking about digital communication
system - is the Noise Figure. But we do not want to repeat here all the theory explained in the
University. Nor was it to have mentioned the noise figure here, but as we talked about it, just
understand as a noise level that every receiver has, and that it is due to the process of amplification
and processing of signal.
Concepts like this, and other even more complex, can be studied, if you wish. But now, let's continue
with our signal to noise ratio.
Eb/No -> Ec/Io
The concept of Eb/No applies to any digital communication system. But today we are talking specificallyto Ec/Io, which is a measure of evaluation and decisions of CDMA and UMTS.
Note: all the technology uses signal-interference ratio. For example, in GSM, we use C/I.
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As we are speaking of codes, it becomes easier to understand the concepts by observing a simplified
diagram of Spread Spectrum Modulation.
In red, in transmitter have a narrowband signal with data or voice modulated. This signal is spread and
transmitted. And spreads through the middle (air). In the receiver, the signal is despread - using the
same sequence that was spread - and thus recovering the base narrowband signal.
To proceed, we must know some more definitions. However, this point is quite delicate, as we enter a
conceptual area where we have differences between authors, differences in translations/countries,
where differences in technologies are applied, etc..
Let's try to define in a generic way, and only the main.
No: Spectral Density of Noise;
Noise generated by the RF components of the system, the air, among others.
Io: Interference is the Broadband; Interfering co-channel, including yourself setor.
E: is the signal (average) energy - do not confuse it with the sinal (average) power.
b, c, s. ..: Energy are the power points in time, therefore related to the measure or 'length' of the time (the
average power is independent of time ).
Hence it comes Eb, Ec and Es, respectively relating to Bit Chip and Symbol in different times.
Note: With these concepts, several formulas can be derived with different numerators and denominators.
For example, Es = Eb * k, where k = number of bits per symbol. In QPSK modulation, where k = 2, Es = 2
* Eb. And the derivations of formulas can reach far more complex equations, such as the definitions of
capacity of an AWGN channel, and further deductions for equivalences (Ec/No, Eb/Nt, etc. ...). Again, it
is not our purpose here today. We only mention a few concepts, related.
Then come back to the practical level - noting that theoretical approaches can be done more easilylater, after the basics are understood.
So let's keep today in ratios most common: Eb/No and Ec/Io.
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As we defined Eb/No is the Average Energy of a bit signal, on the Spectral Density of Noise. It is
primarily a parameter related to the manufacturer for different bearers (based on the channel model).
But it can also vary with the environment (urban, rural, suburban), speed, diversity, use of power
control, applicat ion type, etc ..
And now we can begin to define Ec/Io, one of the most important systems in CDMA and UMTS.
Note: An important observation is that often when we refer to Ec/Io, we are actually referring to Ec/(Io
+ No). What happens is that for practical purposes, we only have Ec/Io, because the interference is
much stronger and the noise can be neglected. Otherwise: for CDMA interference is like a noise, then
both can be considered the same thing.
Okay, let's stop with the issues and concepts, and talk a little about the values of these indicators and
their use in practice.
Eb/No Positive and Ec/Io Negative?
In terms of values, and talking logarithmicly, if any ratio is less than 1, then the value is negative. If
greater than 1, positive.
We have Ec/Io in the air, which is spread across the spectrum: then we have negative value to the ratio
of energy on the total noise (the energy is lower than the Total Interference). It is measured at the
input of receiver (NodeB, UE, etc).
Regarding Eb/No, it is in the baseband after despreading and decoded only for one user - then we have
a positive amount of energy over the total noise. It is measured at the output of receiver (NodeB, UE,
etc).
Why should we use Ec/Io?
A more natural question would be: why we can not simply use the Signal Strength measured by the
mobile as a guide for operations such as handover?
The answer is simple: the measured signal level corresponds to the Total RF power - All cells that the
mobile sees.
So we need another quick and simple measure that allows us to evaluate the contribution of each sector
individually.
We used to measure the pilot channel signal of each sector to assess the quality: if the level of the pilot
is good, then also are good levels for the traffic channels for our call in this sector. Likewise, if the pilot
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channel is degraded, so will the other channels (including traffic) be, and it is best to avoid using the
traffic channels in this sec tor.
UMTS and CDMA systems, we have a pilot channel, some other control channels such as paging, and
traffic c hannels.
The Ec/Io varies with several factors, such as the Traffic Load and and RF Scenario.
Of course, the Ec/Io is the final composition of all these factors simultaneously (Composite Ec/Io), but
it's easier to understand talking about each one separately.
Change in Ec/Io according to the Sector Traffic Load
Each sector transmits a certain power. Suppose in our example we have a pilot channel power setting of
2 W, and a power of other control channels also fixed at 2 W.
To make it easier to understand, we calculate the Ec/Io (pilot channel power to total power) of this
sector in a situation where we have no busy traffic channel (0 W).
Thus we have:
Ec = 2 W
Io = 0 + 2 + 2 = 4 W
Ec/Io = (2/4) = 0.5 = -3 dB
h l ff h l b ( f ff h l ) h
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Now assume that several traffic channels are busy (eg use 6 W for traffic channels). This is a situation
of traffic load, we'll see how is Ec/Io.
Ec = 2 W
Io = 2 + 2 + 6 = 10 W
Ec/Io = (2/10) = 0.2 = -7 dB
Conclusion: As the traffic load in the sector increases, the Ec/Io worsens.
Change in Ec/Io according to the scenario RF
According to the RF scenario - a single server sector, some or many servers sectors - we can also take
various measures to Ec/Io.
Considering first a situation without external interference, with only one server sector (dominant), the
ratio Ec/Io is about the same initially transmitted.
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Ec/Io = (2/8) = 0.25 = -6 dB
Whereas a signal coming from this sector in the mobile at level of - 90 dBm (Io = -90 dBm), we have Ec =
-90 dBm + (- 6 db) = -96 dBm.
Let us now consider another situation. Instead of one, we have five sectors signal arriving at the mobile
(for simplicity, all with the same level of -90 dBm).
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Now have Io = -83 dBm (which is the sum of five signals of -90 dBm). And the power of our pilot channel
remains the same (Ec = -96 dBm).
Thus: Ec/Io = -96 - (-83) = -13 dB
Conclusion: As many more sectors serves the mobile, the Ec/Io worsens.
This situation where we have many overlapping sectors, and with the same level of signal is known as
Pilot Pollution - the mobile sees them all at once - each acting as interferer to each other.
The solution in such cases is to eliminate unwanted signals, by setting power parameters or physical
adjustments (tilt, azimuth), leaving just dominant signals which should exist at this problematic place.
Okay, and what are typical values?
We have seen that for CDMA and UMTS systems, the measurement of Ec/Io which is very important in
the analysis, especially in handover decisions.
And now also understand the measure Ec/Io as the ratio of 'good' energy over 'bad' energy, or 'cleaness'
of signal.
But what are the practical values?
The value of Ec/Io fluctuates (varies), as well as any wireless signal. If the value starts to get too low,
you start to have dropped calls, or can not connect. But what then is a good range of Ec/Io for a sign?
In practical terms, values of Ec/Io for a good evaluation of the network (in terms of this indicator) are
shown in the diagram below.
A composite Ec/Io ~ - 10 db is a reasonable value to consider as good.
Note: See we are talking about negative values, and considering them 'good'. In other words, we are
saying that energy is below the Noise (and still have a good situation).
This is a characteristic of the system itself and Ec/Io 'most negative' or 'less negative' is going to allow
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This is a characteristic of the system itself, and Ec/Io 'most negative' or 'less negative' is going to allow
assessment of the communication.
In situations where Ec/Io is very low (high negative number), and the signal level too (also high negative
number), first we need to worry in enhancing the weak signal.
Another typical situation: if the measured Ec/Io is very low, even if you have a good signal level, you
can not connect , or the call will drop constantly.
I hope you've managed to understand how the Ec/Io is important for CDMA and UMTS. Note, however,
that this matter is very complex, and supplementary reading - books and internet - can further help youbecome an expert on the subject.
Anyway, the content displayed serves as an excellent reference, especially if you're not familiar with the
concept of signal over noise for CDMA and UMTS.
And the Signal to Noise Ratio for other technologies?
The ratio Ec/Io is the most commonly used to assess the condition of energy over interference, butapplies only in technologies that use codes (Ec).
But the concepts understood here to CDMA and UMTS are very similar - apply - for any technology, eg
GSM, where we use the C/I.
Anyway, this is a topic for another tutorial, we saw today Ec/Io.
Conclusion
Today we had a brief introduction on the Ec/Io ratio, a measurement for decisions in CDMA and UMTS,
and used togheter with the measured Signal Strength.
We have seen that it represents the ratio of signal energy within the duration of a chip of the pilot
channel, on the Spectral Density of Noise + Interference.
This is a very important measure, which somehow ignores the overall strength of the signal, and focuses
on how best to evaluate the pilot channel signal is desired, in relation to noise that interferes with it.
Returning to our original question: A strong signal level does not necessarily indicate an strong Ec/Io: itdepends on the level of interference.
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Comments (36)
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104 weeks ago
Good explanation...
103 weeks ago
Really a good try ...
102 weeks ago
in russion plzzzz
101 weeks ago
I have Five year of telecom professional Experience in field of GSM,WIMAX&UMTS. For upgradation of
my knowledge. I want to join this forum.
88 weeks ago
Excellent to point explanation. Thank you.
81 weeks ago
baguih dok ada
78 weeks ago
love you for such posts :)
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love you for such posts :)
71 weeks ago
Very good. keep going boss
69 weeks ago
god thinking and explanation .....keep going it we help us ...:)
66 weeks ago
really amazing go ahead always
65 weeks ago
Thanks for this post.. helps me understand it a lot.
64 weeks ago
How -83 dBm was derived from 5 cells transmitting at -90 dBm?
4 replies active 48 weeks ago
63 weeks ago
Good presentation. Thanks!
62 weeks ago
excellent
-1G C 6 k
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61 weeks ago
You the best man. This is the first time that i see someone explain Ec/Io the way you did with simple
drawing and calculations. Go on with the good work!
61 weeks ago
Convincing youre a master.
Thanks
58 weeks ago
Its a very good post. thanks
52 weeks ago
pls include RSSI, RSCP etc. Thanks
52 weeks ago
Thanks a lot for the writer. May Allah bless the writer.
48 weeks ago
How the Sum of Five Signals are -83dbm(I0=-83 dbm)? Please explain.....
1 reply active 48 weeks ago
48 weeks ago
The calculation is not quite correct. P(dBm) = 10Log(P/1000) since dBm is Decibel-milliwatt.
-90dBm = 0.000001W , therefore P(dBm) = 10Log(0.000005/1000) = - 83dBm
1 reply active 48 weeks ago
straivodka 44 k
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44 weeks ago
I am a hobby yagi builder of 1 year now and it was nice to see it very well explained. I have spent
many hour working on the meaning of this. However as a few posts above show it should be -83dbm for
5 cells trasnmitting at -83dbm?
41 weeks ago
Excellent .God bless u.
36 weeks ago
kollameda kidillan...
26 weeks ago
Terrific Post... Very Easy To Understand The Imp Concepts..
Keep Up The Good Work..
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