Posted By : Rakhi Roy
Student in National Taipei University,
Communication Engineering Department.
Writer of Blog : Beautiful Bangladesh
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Signal to Interference plus Noise Ratio SINR
is commonly used in wireless communication as a way to measure the quality of
wireless connections. In wireless networks, this is commonly defined by path
loss. It is calculated as SINR =
P / (I + N) where P is signal power, I is interference power and N is noise
power and its unit is dB
Most of the people those are related to communication system
always prefer high SINR because they think high SINR is good for user and
because of high SINR people can upload and download file very quickly. But those
who really think this I want to make their concept clear.
Suppose error is indicated as 0 and Correct is indicated as
100 bits.
If Block error rate (BLER) is 10-1 it means
there is a 10% chance of 0(error) bit and 90% chance of 100 bits(Correct ). So
here goodput=90 bits
If BLER is 10-2 it means there is a 10% chance of 0 (error)bit
and 99% chance of 100 bits(correct). So here goodput=99 bits
If BLER is 10-3 it means there is a 0.10% chance of 0
bit (error)and 99.9% chance of 100 bits(correct). So here goodput=99.9 bits
In every case SINR is close to 100 but not exactly 100.All
the values are very close to each other
that’s why Throughput vs. SINR curve is almost saturated.
From above discussion it is clear that improving SINR is not
affected to the user because in every case there is a very slight difference
(90,99,99.9.99.99…)and this difference does not change anything to the user. For
a user 99% or 99.9% is not a very big problem.
In wireless communication targeted BLER is 10-2.So
operator always try to keep BLER is 10-2 and they are not very much worried
about SINR.
2 comments
I have published the post cause i think that people will get the difference between the practical and theoretical SINR.What we learn in theory is not always applicable in practical communication.We need to modify some points.This is the summary of this post.
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