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where:

lower:    offset - BW_ILT/2 – emission mask asymmetry[1]

upper:    lower + BW_ILT

dF:         step size, e.g. min{0.1;( BW_ILT)/20}

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A8.2.2   Case 2: Partial overlap with f_ILT > f_VLR

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Note: the blue coloured range is covered by the iRSS_unwanted calculation and therefore not taken into account in the iRSS_blocking calculation.

where:

lower:    BW_VLR/2

upper:    offset + BW_ILT/2 – emission mask asymmetry

dF:        step size, e.g. min{0.1;( BWILT)/20} 

A8.2.3    Case 3: Partial overlap with f_ILT < f_VLR

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Note: the blue coloured range is covered by the iRSS_unwanted calculation and therefore not taken into account in the iRSS_blocking calculation.

where:

upper:    - BW_VLR/2

lower:    – offset - BW_ILT/2 – emission mask asymmetry

dF:        step size, e.g. min{0.1;( BW_ILT)/20}

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A8.2.4    Case 4: Total overlap with BW_VLR < BW_ILT

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Note: the blue coloured range is covered by the iRSS_unwanted calculation and therefore not taken into account in the iRSS_blocking calculation.

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where:

lower:    offset - BWILT/2 – emission mask asymmetry

upper:    lower + BWILT

dF:        step size, e.g. min{0.1;BWVLR/5}  1)             excluding the range fVLR ± BWVLR/2

Note that at least 3 samples are required for the range f_VLR ± BW_VLR.

A8.2.5    Case 5: total overlap with BWVLR > BWILT

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In this case, there is no blocking as the interference is completely covered by the unwanted calculation. The blocking attenuation is therefore set to 1000 dB.

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The integral requires positive values of the blocking mask, i.e. the blocking mode has to be considered first. 

where: n = range/dF  and range = upper-lower

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maskValue(f) = BlockUD (dB).

• For generic systems defined with blocking modes different to user-defined (i.e. sensitivity and protection ratio);

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• • Protection Ratio (dB):

maskValue(f) = BlockPR (dB) + C/(N+I) (dB) + (N+I)/N (dB) - I/N (dB) 

• • Sensitivity Mode (dBm):

maskValue(f)  = BlockSens (dBm) – SensitivityVLR (dBm) + C/(N+I) (dB) – I/N (dB)   

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• For cellular systems:
  • If the mask is defined in positive values (ACS), then maskValue(f) corresponds to the mask specified in the receiver settings;     
  • If the mask is defined in negative values, then  maskValue(f) corresponds to the calculated positive mask using the input parameters Standard Desensitisation  and I/N_target (see section ‎A8.2.8).
    
    

A8.2.7   Considerations on the bandwidths used in the integral

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For a User Equipment: the bandwidth is: the number of RBs per MS (UE) multiplied by the bandwidth or one resource block.

Calculation of BW for CDMA

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• Standard desensitisation (for which the blocking mask values where derived);
• Target I/N  (which depends on the scenario considered and can be extracted from the CEPT/ECC or ITU-R deliverables ).

If the mask is entered as positive values then these parameters are not used.

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Default values of standard desensitisation and Target I/N are specified in the table below.

The algorithm to convert negative blocking mask values is as follows:

Blocking Response = I_{OOB_target} – Noise floor – I/N_target

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where:

• I/N_targetis always understood as ‘target I/N of the victim’, which is calculated for D_target (target desensitisation)
• Noise floor = 10*log(kTB) + F.
  • K= Boltzmann Constant
  • T = Noise temperature (Kelvin)
  • B = Receiver bandwidth in MHz
  • F = Noise Figure (dB)
  • I_{OOB_target} is calculated as follows :

I_OOB-TARGET = I_OOB-STANDARD – D_STANDARD + D_TARGET

where:

• I_OOB-STANDARD = is the original blocking mask;
• D_STANDARD = is the standard desensitisation for which the blocking mask values (I_OOB-STANDARD) were derived. It is an input of cellular receiver settings (see Figure 389).
• D_TARGET = 10*log10(10^(I/N_target/10)+1) ; where I/N_target is an input of cellular receiver settings.

Finally, we obtain: 

Blocking Response = I_OOB-TARGET – Noise floor– I/N_target, which means:

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