Patch Set 3:

(2 comments)

> (2 comments)
 

 > I'm not sure I overlook the bigger picture, but do go ahead.

Which size of the frame do we want? For simulation we want different models of 
when a subscriber comes into a serving a area.

* Everything at once
* Linear over time
* Slow start, bulk, trailing end

In real-life osmo-bts can ramp up power slowly. E.g. to catch few subscribers 
in the beginning and then more and more. I thought the concept of a cumulative 
distribution function (CDF) let's us model this the easiest way (by emulating 
visibility with starting the osmocom-bb later)

https://gerrit.osmocom.org/#/c/6230/3/src/osmo_ms_driver/__init__.py
File src/osmo_ms_driver/__init__.py:

Line 5: # Authors: D. Lazlo Sitzer <[email protected]>
> Also, frankly, this is just a list of authors, the copyright is two lines f
Accurate point but I didn't write any of the lines and just cp'ed that file. 
But let's not lose any time on this one?

We should talk about how I copied it without updating "update_version.sh" and 
not providing any _version.py ;)


https://gerrit.osmocom.org/#/c/6230/3/src/osmo_ms_driver/cdf.py
File src/osmo_ms_driver/cdf.py:

Line 29:     y-axis we have the percentage (from 0.0 to 1.0) of how many
> technically from 0..1 would not be a percentage as the word implies the 0..
Your point is the von Neumann statement that floating point is for people that 
can't move the comma/dot? But I think it is common for probability and 
percentage to range from 0.0 to 1.0?

s/percentage/value? Better?


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Gerrit-MessageType: comment
Gerrit-Change-Id: I9e3064f4c3c4c7af5d3491f850090516e541f4d3
Gerrit-PatchSet: 3
Gerrit-Project: osmo-gsm-tester
Gerrit-Branch: master
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