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<h3>Capacity reduction</h3>

<p>The compressed mode decreases system capacity if higher
Eb/No for users are required or power control efficiency is lower. The compressed
mode may also cause hard blocking if the spreading factor splitting is used.
This is a direct consequence of the overall interference in the cell increasing,
leading to a rise in the load and reducing capacity for the new users trying
to access the cell. The effect is very small when considering a single UE
in the compressed mode. However, it increases exponentially once a large number
of UEs are continuously in the compressed mode.</p>


<p>When planning the compressed mode for the inter-system
scenarios, it is important to estimate the probability factor which is derived
from the average load in the cell and the coverage probability that would
lead to the ratio of UEs in the connected state to trigger inter-system handovers.
It is also important to note that the effect is due to an increase in the
requirement of the power per user in the compressed mode but if the applied
compressed mode method is HLS (depending on services) which would maintain
the power requirement, the effect does not exist.</p>


<p>The table shows an average estimate of capacity reduction
figures which are based on the typical increase in the EbNo requirements when
either puncturing or SF/2 is used. An exact increase in the Eb/N0 depends
on the service, multipath diversity, antenna diversity, mobile speed, uplink
or downlink, measurement gap length and compressed mode method (spreading
factor or puncturing), and 1.5 dB represents a typical value.</p>


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<p>Table: Capacity reduction</p>


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<td colspan="1" rowspan="1"><p>Required Eb/NO is 1.5 dB higher during compressed frames</p>
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<td colspan="1" rowspan="1"><p>1.5 dB = 41% more interference</p>
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<td colspan="1" rowspan="1"><p>Every 3rd frame is compressed</p>
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<td colspan="1" rowspan="1"><p>41% /3 = 14% more interference</p>
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<td colspan="1" rowspan="1"><p>10% of the users are measuring at the same time</p>
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<td colspan="1" rowspan="1"><p>14% /10 = 1.4% more interference</p>


<p>Capacity degradation &lt; 2%</p>
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<p>The parameterisation of the triggers initiating the compressed
mode can be very challenging as it depends on variable factors, one the most
important ones being the type of service users are doing.</p>


<p>If the compressed mode parameters favour several UEs to
perform handovers between carriers or systems, and if the implemented compressed
mode parameters are the same in all areas, the effect discussed here will
be highly uncorrelated in the areas where there are mostly voice users to
the areas where there are relatively large mix of services. This is due to
different methods applied for the compressed mode in different scenarios.</p>
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