12 Results

12.1 Scenario outline

12.1 Scenario outline

12.1.1 Simulation Summary

The simulation summary (left of Figure 242) provides a quick access to the mean, median and standard deviation of the dRSS, iRSS unwanted and iRSSblocking

The mean is computed using the simulated results in dB. The median is computed using the simulated results converted to linear values and then converted again to dB. The standard deviation (StdDev) is computed using the simulated results in dB. This is further explained in Annex A1.5.1.

12.1 Scenario outline

12.1.2 Simulation status

The progress bar (right of Figure 242) reflects the percentage of events simulated with respect to overall number of events specified in the simulation control window in the scenario tab.


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Figure 242: Simulation status

 

12.1 Scenario outline

12.1.3 Generic system outline

During the event generation all involved transceivers (ILT, ILR, VLR and VLT) are plotted in graphical display window placed on the simulation outline tab. 

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Figure 243: Example of “Scenario outline” for a generic system 1 vs generic system 2 type of simulation

 

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 Figure 244: dRSS, IRSS samples

 

The dRSS and the iRSS vectors are shown for 100 events maximum to avoid overloading the memory and to speed the computation time. The iRSS is shown as a summation of all the interferers.

12.1 Scenario outline

12.1.4 Cellular system outline

Once SEAMCAT has determined the number of UEs per cell either through simulation of optimal capacity (see Figure 197 for UL and Figure 198 for DL or by a value that you specify the actual simulation of snapshots begins. As with all scenarios this causes SEAMCAT to show the scenario outline (Figure 245 for UL and Figure 246 for DL). 


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Figure 245: Example: CDMA Uplink as victim – Base-stations are shown as VLR (several snapshots are displayed) 

 

 

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Figure 246: Example: CDMA Downlink as victim – Base-stations are shown as VLT (1 snapshot displayed here only)

 

 

Only CDMA base-stations will appear in the Scenario outline graph. Dependent on the scenario the base-stations positioning will appear as shown in Table 50.

 


Table 50: Role of the cellular element in the scenario outline

Scenario configuration

BS role

UE role

Positioning

Illustration

CDMA Downlink is victim

Victim link transmitter

Victim link receiver

Reference cell is positioned in (0,0)

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CDMA Uplink is victim

Victim link receiver

Victim link transmitter

Reference cell is positioned in (0,0)

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CDMA Downlink is interferer

Interefering link transmitter

Interfering link receiver

Relative to victim and reference cell

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CDMA Uplink is interferer

Interfering link receiver

Interefering link transmitter

Relative to victim and reference cell


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12.2 Overview of output results

Table 51: Interference criteria summary for various victim systems

Victim system

Intereference criteria

Generic module (i.e. non CDMA/OFDMA)

Probability of interference based on C/I, C/(I+N), (N+I)/N, I/N

CDMA

Capacity loss (i.e. number of voice users being dropped)

OFDMA

Bitrate loss (i.e. number of bit rate lost compared to a non interfered victim network)




 

12.3 Generic model Results

12.3 Generic model Results

Introduction

After running a simulation with generic system, each of these signals is displayed with indicated array size (i.e. the number of valid generated events), unit and then the type (vector, double etc..).

Double-clicking on one of the vectors, the signal dialog window (see Annex A1.5) will plot the signal as well as its statistical features. 

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Figure 247: List of the output results for generic vs generic simulation

 

12.3 Generic model Results

12.3.1 Generated signals results

12.3 Generic model Results

12.3.2 Calculated radius

The calculated radius folder contains the values of the coverage and/or simulation radii calculated for the event generation when set to non-correlated (See ANNEX 13:). 

12.3 Generic model Results

12.3.3 Intermodulation results

iRSS intermodulation folder (Figure 248) with as many iRSSintermod vector for each combinatory couple in case there are more than one interfering link and one vector for the sum.

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Figure 248: Intermodulation results folder

 

12.3 Generic model Results

12.3.4 Overloading results

As a result of the equation described in Annex A5.4, for each event and at each frequency, the sum of the iRSSoverloading (iRSSsum_overloading) will be compared to the overloading treshold Oth(fi) at that frequency (fi). The difference, delta (in dB), will be stored.

If only one frequency is present, the iRSSsum_overloading is compared to the Oth(fi)and the difference will be stored for that event.  If more than one frequency is present, the highest delta value will be indicated in the vector (i.e. irrespective of the frequency) such that 

for each event j (where dRSS > sensitivity){

for Frequency = i to number of total frequencies{ delta_max(j) = max(delta(fi)); }                             (Eq. 67)

}


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Figure 249: Overloading results folder

 

The output delta overloading vector is of the dimension delta x number of events

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Figure 250: Delta overloading result vector

 

12.4 Spectrum sensing results

12.4 Spectrum sensing results

Introduction

When the cognitive radio mode is activated, SEAMCAT resturns the output vector shown in Figure 251 and described in Table 52.

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Figure 251: Output vector for the CR

 

 

 

Table 52: Output results for CR simulation

#

Item

Description

1

sRSS

sRSS value calculated at the selected WSD frequency (i.e. where the WSD is allowed to transmit) for each of the event

2

WSD frequency

The actual selected frequency at which the WSDs are allowed to transmit as the result of the spectrum sensing algorithm

3

WSD e.i.r.p.

The actual selected e.i.r.p. at which the WSDs are allowed to transmit as the result of the spectrum sensing algorithm

4

Victim frequency

frequency at which the victim device transmits per event

5

Average e.i.r.p. per event x active WSDs (for each frequency)

average e.i.r.p. per event for all the active WSDs transmitting at a certain frequency

6

Average Active WSD per event (for each frequency)

 


At the end of the simulation, SEAMCAT provides a set of output vectors as above. Then you can perform the interference probability calculation as previously described.

12.4 Spectrum sensing results

12.4.1 sRSS vector

The sRSS vector (dBm) is merely the sRSS value calculated at the selected WSD frequency (i.e. where the WSD is allowed to transmit) for each of the event. Figure 252 displays the vector for each WSD. You can select any or all of the WSD (#1). The same applies to the CDF and density graphs (#2).

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Figure 252: sRSS vector output

 

 

You are able to save the results (#4) as .txt file for further post-processing.

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Figure 253: Saving format of the sRSS vector for post-processing

 

12.4 Spectrum sensing results

12.4.2 WSD frequency

This vector represents the actual selected frequency (MHz) at which the WSDs are allowed to transmit as the result of the spectrum sensing algorithm.

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(a)

(b)

Figure 254: Frequencies where the WSDs are transmitting as (a) vector display and (b) CDF

 

 

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Figure 255: Density of the frequencies used by the WSDs

 

12.4 Spectrum sensing results

12.4.3 WSD e.i.r.p.

The actual selected e.i.r.p. (dBm) at which the WSDs are allowed to transmit as the result of the spectrum sensing algorithm. This vector displays the e.i.r.p. for each of the WSD for all the events. In the example presented in Figure 256, the WSDs are transmitting with a e.i.r.p. between -10 and 20 dBm and -1000 dBm (equivalent to WSD switch off).

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Figure 256: Example of the density of the e.i.r.p. per WSD

 

12.4 Spectrum sensing results

12.4.4 Victim frequency vector

The victim frequency vector (MHz) represents the frequency at which the victim device transmits per event. 

12.4 Spectrum sensing results

12.4.5 Average e.i.r.p. per frequency

It presents the average e.i.r.p. per event (dBm vs MHz) for all the active WSDs transmitting at a certain frequency such that:

 

image.png    (Eq. 68)

 

Let us assume a different example from above, where 4 channels have been identified for the WSD to operate. Figure 257 shows that on average 33 dBm, for one event, was transmitted by the active WSDs at 1000.5 MHz , 8.82 dBm at 1001.5 MHz etc...

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Figure 257: Average e.i.r.p. per frequency

 

12.4 Spectrum sensing results

12.4.6 Average active WSDs per frequency vector

It provides the average number of active WSD per event for a specific frequency:

                                        

image.png   (Eq. 69)

Re-using the example of Figure 257, Figure 258 indicates that, with for instance 5 WSDs set as input parameters, an average of 0.63 WSDs were active at 1000.5 MHz (with 33 dBm e.i.r.p. Figure 257), 1.29 WSDs were active at 1001.5 MHz (with 8.82 dBm e.i.r.p. Figure 257), 1.57 active WSDs at 1002.5 MHz and 1.51 active WSDs at 1003.5 MHz. It can also be noted that in this particular example, the sum of the active WSDs across the selected frequencies is 5, meaning that all the simulated WSDs have been active and none have been turn off.

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Figure 258: Average active WSDs per frequency

 

12.5 CDMA output results

12.5 CDMA output results

12.5.1 CDMA capacity finding

During the pre-simulation part, the system estimates the load of the network as shown in Figure 259. The results are presented as in Figure 260.

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Figure 259: Example of the CDMA UL capacity finding status

 

 

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Figure 260: Pre-simulated results (victim case)

 

12.5 CDMA output results

12.5.2 CDMA results

Once SEAMCAT has completed the simulation, the results are shown as displayed in Figure 261, when the CDMA network is the victim. This figure presents the difference between the 2 steps power balancing process (1-initial power balancing, 2- power balancing after introduction of an external interference), that is to say " non-interfered capacity " is the number of UEs in the victim network prior to adding an external interferer and "interfered capacity" is the number of UE in the victim network after adding the external interference.

When the CDMA system is the interfering link, the total received power at the receiver in the victim link, due to the transmit power of all the active mobile stations in the three cells of the center cell site of the CDMA cluster, adjusted for spectral masks, etc., is counted as the interfering power in the victim link.  Therefore, it is not necessary to keep track of any capacity loss in this case, unless the victim link is also a CDMA system.

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Figure 261: Example of the CDMA results display panel

 

 

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Figure 262: Example of the CDMA results display panel

 

 

SEAMCAT is able to calculate (for CDMA) 3 losses:

1)     Loss of UEs for the whole network based on the before and after number of UE

 

System capacity loss = 100 - (interfered_capacity/ non-interfered_capacity)*100              (Eq. 70)

 

2)     Loss of UEs for the reference cell based on the before and after number of UE

Ref cell capacity loss = 100 - (interfered_capacity/ non-interfered_capacity)*100              (Eq. 71)

 

3)     Loss of UEs for the whole network based on the total number of dropped UE

System capacity loss = total_dropped_UE_system/total_simulated_UE*100                    (Eq. 72)

 

It is quite important to understand that there is not a 1-to-1 map between non-interfered active/interfered users and the dropped users. Dropped user can occurs at many level of the algorithm, it can be due to:


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12.5 CDMA output results

12.5.3 CDMA results for cell selection algorithm

When the CDMA “cell selection” algorithm is simulated, the following output vectors are also available for scrutiny:

  • Average network noise rise (initial without external interference): value at step 1 (i.e. before the algorithm - see Annex ‎A15.3.2)

  • Average network noise rise (initial): value at step 5 (i.e. before the algorithm - see Annex ‎A15.3.2)

  • Average network noise rise (resulting): value at step 10 (i.e. after the algorithm - see Annex ‎A15.3.2)

  • Capacity loss in the whole network (for each event, calculate the capacity loss in %).

  • Capacity loss in the reference cell per event

  • Capacity loss in the worst cell per event (the first strongest cell: selectedCell[1]). The cell-ID can be different from event to event but the capacity loss is to be extracted).

  • The number of cells affected per event.


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12.6 OFDMA output results

The results of the OFDMA simulation are given in terms throughput loss of the OFDMA victim. Figure 263 presents an overview of the simulation results. It consists of the achieved bitrate (with or without external interference) for the reference cell or the whole system.

A summary of the bit rate loss expressed in percentage for both the reference cell and the entire OFDMA network (i.e. the whole system) is also available. The percentage calculation is performed for each snapshot and the mean of the percentage over all the snaphsots is deduced.


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Figure 263: Example of the OFDMA results display panel

 

12.7 EPP results

In case an EPP is used and it returns a set of result, they will also be included next to the statistic panel as shown in  Figure 264. The EPP can also produce results like Single values, Vectors, Vector groups, Scatter diagrams, Barcharts.

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Figure 264: EPP results 

 

12.8 Cellular Structure

12.8 Cellular Structure

Introduction

When simulating CDMA or OFDMA systems, you will have access to the additional tab "Cellular structure", which will become active after completion of the simulation. This new tab allows you to inspect the internal details of CDMA/OFDMA cluster based on data on one event.

After a simulation these GUI parts are used to provide access to calculated results but also detailed insight into the last event of the simulation as illustrated in Figure 265, but you can reproduce any event using the play/replay feature (Section ‎2.15).

The “Summary of event #n” and “inspect selected element” panel of Figure 265 are shared components from the CDMA and OFDMA module. 

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Figure 265: Example of the last event overview of the cellular network (CDMA)

 

12.8 Cellular Structure

12.8.1 Plot configuration

The top part of the detailed system information screen contains a range of checkboxes used to control which information is plotted (Figure 266).  A full description of each checkbox is given in Table 53.

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Figure 266: Plot configuration

 

 

 


Table 53: Plot configuration elements

Name

Description

Users

Plot active UEs across the entire system

Dropped users

Plot dropped UEs across the entire system

Connection lines

Plot active connections for all active UEs – this only shows if “UEs” are checked

TX stats

If system is downlink this toggles the display of the transmit power of each base-station. If system is uplink this toggles the display of the noise rise of each base-station as well as the total interference experienced by that base-station. Also the number of active UEs connected to each base-station is shown – regardless of link direction.

Antenna Pattern

Toggles a visual representation of the antenna pattern of the selected base-station. This is mostly interesting in tri-sector scenarios. The plot of the antenna pattern can be used to ensure that the correct sector is selected.

Cell centre

Toggles the display of base-station position within the cell.

External Interferers

Toggles the display of external interferers. This only has effect when CDMA is victim.

Cell ID#

Toggles the display of the internal SEAMCAT cell id next to the cell centre

Legend

Toggles the display of the legend in the top left part of the main plot area


The main part of the CDMA network Details window is used by the main plot. The plot shows a visual representation of the last snapshot and should be used to validate that the input parameters actually corresponds to the system that should be simulated. The plot allows for heavy user interaction. A very basic example is shown Figure 267 below.

image.pngFigure 267: Main plot of CDMA network 

 

12.8 Cellular Structure

12.8.2 Summary of event #n

The “Summary of event#n” panel provide a few metrics on the number of users simulated Figure 268


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Figure 268: Event summary of cellular setup

 

 Table 54: Snapshot summary description

Name

Description

Total Users

The total number of UEs in the system (number of BS x UEs per cell) for CDMA (active and dropped) and number of active users for OFDMA.

Connected Users (active/ inactive)

Number of UEs connected. In CDMA and OFDMA it is assumed that all users are active.

Dropped Users

Number of Ues dropped after power balancing. If CDMA is victim it is the number of Ues dropped after introduction of interference. Note that uplink CDMA drops Ues based on the average noise rise in the system – so it is possible for a single interferer to “shut-down” the entire system (causing all Ues to be dropped).

In OFDMA, the purpose is to look at the bitrate/throughput loss and not to look at the number of dropped users, but it is possible to drop users depending on the input set-up.

Selected system

If more than one CDMA network is available in the scenario, a dropdown is used to select the system. You can choose to visualise either the victim or the interfering system which has been simulated. When you select the victim system, it is also possible to see the position of the interferer.

Selected sector

When tri-sector layout is used, it allows you to see the antenna pattern for the selected sector. Note that the antenna pattern should also be selected in the plot configuration (for visualisation purpose only).

12.8 Cellular Structure

12.8.3 Inspect selected element



12.8.3.1 Detail

When an element of the main plot is selected, its detailed information is shown in a table. Further detailed are presented in Annex ‎A15.1 with respect to CDMA network, Detailed of voice users, cell.

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Figure 269: Detailed information of each element of the main plot

 




12.8.3.2 Event Vectors

You are able to investigate some intermediary output vectors resulting from the cellular simulation.

For the position information (x,y) of the active UE details, all coordinates are always shown in the SEAMCAT coordinate system which by definition either the VLT or the victim reference cell in (0,0). Therefore, the position of the elements of an interfering CDMA or OFDMA system is based on the victim reference cell and not its "internal" reference cell. 

 


Table 55: CDMA UL (a) and DL (b) snapshot vector for the last event

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Table 56: Output vector results for CDMA UL

Name

Description

Calculated pathloss

Raw parthloss for all the active links (i.e. active UE to ist serving BS)

Distance to first BS

Distance from UE to its serving BS (first refer to cases where tri-sector is active)

Effective Pathloss to Ext. interferer (all victims, all interefers)

Effective pathloss between all the victims and all the external interferers

Effective pathloss, active links

Effective pathloss between all the victims and there respective serving BSs. Results of the below equation for all the active links

External interference, all cells

Sum of the iRSSblocking and iRSSunwanted at each victim cell

Geometry

Evaluate the Geometry for the active users for the all network

Inter System Interference

Evaluate the interference from your own network

Noise rise over the noise floor

Evaluate the Noise rise over the noise floor

Number of dropped users per BS

Evaluate the Number of dropped users per BS

Rx power, active links

Received power at the victim serving BS (UL) or active UE (DL) from its own system (used for investigating the inter-system interference from other cells)

Size of active list

Size of active list

Tx power external interferers

Tx power from the interferer

Tx power, active users

Tx power from its own system





Table 57: Output vector results for CDMA DL (the rest of the vectors are like for the UL)

Name

Description

External interference, active users (all cells)

Evaluate the external interference on all the active users for the whole network

External interference, active users (ref cell)

Evaluate the external interference on all the active users for the reference cell only

External interference, dropped users (all cells)

Evaluate the external interference on all the dropped users for the whole network

External interference, dropped users (ref cell)

Evaluate the external interference on all the dropped users for the reference cell only



Table 58: OFDMA UL (a) and DL (b) snapshot vector for the last event


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(a)

(b)



Table 59: Output vector results for OFDMA UL

Name

Description

Calculated pathloss

Raw parthloss for all the active links (i.e. active UE to ist serving BS)

Distance to first BS

Distance from UE to its serving BS (first refer to cases where tri-sector is active)

Effective Pathloss to Ext. interferer
(all victims, all interefers)

Effective pathloss between all the victims and all the external interferers

Effective pathloss, active links

Effective pathloss between all the victims and there respective serving BSs. Results of the below equation for all the active links

External interference –blocking (all victims – all interferers)

iRSSblocking for each of the victim UE interferered by each interferer

External interference –unwanted (all victims – all interferers)

iRSSunwanted for each of the victim UE interferered by each interferer

External interference –blocking (all victims)

Aggregate external interference iRSSblocking for each of the victim UE. Sum over all the interferers

External interference –unwanted (all victims)

Aggregate external interference iRSSunwanted for each of the victim UE. Sum over all the interferers

External interference, all cells

Sum of the iRSSblocking and iRSSunwanted at each victim cell

Frequency mobiles

Vector of the frequency of the UE (in UL) for each active link

Inter System Interference

Evaluate the interference from your own network

Rx power, active links

Received power at the victim serving BS (UL) or active UE (DL) from its own system (used for investigating the inter-system interference from other cells)

Size of active list

Size of active list

Tx power external interferers

Tx power from the interferer

Tx power, active users

Tx power from its own system



 Table 60: Output vector results for OFDMA DL (the rest of the vectors are like for the UL)

Name

Description

Achieved SINR, active users (ref cell)

Achieved SINR in the ref cell only

Achieved SINR, active users (all cells)

Achieved SINR for the all system

Achieved bitrate, active users (all cells)

Achieved bit rate for the all system




12.8.3.3 Plot settings

The plotting options control how the system is shown in the main plot area and how you select elements from the system. This potting option can be seen on the overview page Figure 270. 

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Figure 270: Plot settings

 

You can zoom in and out by using either the mouse wheel or the Zoom Factor slider. When clicking on a displayed item SEAMCAT tries to match the coordinates of the click to a cellular element – selecting the first matched item.

When SEAMCAT tries to match the click to an element it allows for a certain amount of uncertainty when matching the coordinates. This uncertainty is also called click radius to illustrate the effect of the actual click point being in the centre of a circle used to search for CDMA elements. You can adjust the “click radius” and in combination with the zoom this allows for all elements to be selected using the algorithm supplied above.

It is often the case that an element different than desired or no element at all is selected when clicking the plot. This problem is resolved by zooming in and possibly changing the click radius.

12.9 Interference calculations

12.9 Interference calculations

12.9.1 Introduction

The Interference Calculation Engine (ICE) is that part of the SEAMCAT architecture which calculates for generic victim receiver the probability of being impacted by the sum of the simulated interference power. The calculated result is commonly called "Interference probability" or " probability of interference", in fact it is the probability of exceeding the limit of one of the interference criteria given for the victim receiver.

Regarding the definition of the Radio Regulations (RR) Article 1.166

The effect of unwanted energy due to one or a combination of emissions, radiations, or inductions upon reception in a radiocommunication system, manifested by any performance degradation, misinterpretation, or loss of information which could be extracted in the absence of such unwanted energy.

 

Administrations may have to distinguish between permissible interference (RR 1.167) and accepted interference (RR 1.168).

Details of the interference calculation algorithm are given in ‎ANNEX 2:.

12.9 Interference calculations

12.9.2 Interference calculation GUI

When the simulation is finished, the dRSS and the iRSS vectors are stored. You may proceed to use the facilities of the Interference Calculation Engine (ICE) in order to evaluate the probability of interference for the simulated scenario.

The probability of interference is calculated by the ICE with the following choice of input parameters:

  • Calculation mode: compatibility or translation;

  • Which type of interference signal is considered for calculation: unwanted, blocking, intermodulation, overloading or their combination;

  • Interference criterion: C/I, C/(N+I), (N+I)/N or I/N.

 

If more than one interference calculation was done (i.e. with different combination of interference criterion), you may scroll through all of them by using the Previous / Next buttons.

Interference calculation results:

  • single interference probability value (compatiblity mode);

  • probability as function of the translation parameter (translation mode).

 

When the compatiblity mode is chosen, a single-figure estimate of the probability of interference is calculated;

 

When the Translation mode is chosen, you may calculate and display as chart the probability of interference as function of one of the following input parameters:

  • Output power of Interfering transmitter;

  • Blocking response level of Victim receiver;

  • Intermodulation response level of Victim receiver.

 

You are able to save the results of the translation mode using the “save translation button”.


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Figure 271: Interference calculation panel

 

 

 


Table 61: Parameters to calculate the probability of interference

ID

Description

Comments

1

Calculation mode/
Compatibility:

Compatibility: Gives the probability of being interfered by the Blocking interference and/or by the Unwanted interference and/or by intermodulation interference.
The result is a probability of interference.

2

Calculation mode/
Translations:

In this case all the following parameters should be independent from frequencies: Receiver blocking response mask, Receiver intermodulation rejection mask, power distribution of interfering transmitter, Unwanted emission floor mask. Calculation of the probability of interference as a function of the reference parameters (Power supplied by the It for the unwanted, Blocking response level of the Vr for the Blocking, And intermodulation rejection level for the Vr). These parameters are varying on user-defined definition domain defined by the number of points where the software has to calculate the probability.
The result is a graph.

3

Signal type

Choose the interference studied: Unwanted and/or Blocking and/or Intermodulation and Overloading in case simulated.

4

Interference criterion

Choose between C/I, C/(N+I), (N+I)/N, I/N)

5

Events

Total number of simulated events,
in case Translation multiplied by the number of points

6

Events (dRSS > sensitivity)

It represents the number of events taken into account for  the calculation. The accuracy of the calculated results relates to this ratio, i.e. the less this number the higher the inaccuracy.

7

Calculation control

Delete a result, and see the last results

8

Translation parameters: If translation was chosen

Number of points between the min and max, where the software will calculate the probability.

9

Result / Compatibility

Probability of interference: 1 - always interfered, 0 - never interfered

10

Result / Translation

Gives the graph, showing the resulting probability of interference vs. the selected values of translation parameter. The average of the graph depends of the number of points, but the higher the number is, the longer the calculations are.

11

Save translation button

You are able to save the results of the translation mode




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12.9 Interference calculations

12.9.3 Interference Calculation Engine Control

 It allows to the calculation of the probability of interference for several ICE configurations (i.e. different signal types, interference criteria, etc..) for the same simulation. Figure 272 presents how the control box is used.




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(a)

 

 

 

 

 

 

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(b)

 

 

 

 

 

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(c)


 

Figure 272: Use of the Interference Calculation Engine (ICE)

 




When the translation mode is activated, the overloading feature is deactivated as shown in Figure 273.

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Figure 273: When translation is activated, the overloading feature is de-activated