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A8.2
A8.2
A8.2.1   Case 1: No overlap

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F386
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Figure 384386:  iRSS_blocking case 1: no overlap

 

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where:

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

upper:    lower + BWILT

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

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A8.2.2   Case 2: Partial overlap with fILT > fVLR

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Figure 385387: iRSS_blocking case 2: partial overlap with fILT > fVLR

 


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:    BWVLR/2

upper:    offset + BWILT/2 – emission mask asymmetry

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

 


A8.2.3    Case 3: Partial overlap with fILT < fVLR

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Figure 386388: iRSS_blocking case 3: partial overlap with fILT < fVLR

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:    - BWVLR/2

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

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

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A8.2.4    Case 4: Total overlap with BWVLR < BWILT

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Figure 387389: iRSS_blocking case 4: Total overlap with BWVLR < BWILT

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 fVLR ± BWVLR.

 

 



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

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Figure 388390: iRSS_blocking 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):

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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 Desensitization and 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 ).

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


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Figure 389391: Input parameters for cellular receivers blocking masks

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


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Table 6768: Default values of standard desensitisation and Target I/N


 

Standard

Desensitization

Desensitsation (dB)

Target I/N (dB)

OFDMA UL

+6

-6

OFDMA DL

+6

-6

CDMA UL

+6

-6

CDMA DL

+3

-6

 


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

 


Blocking Response = IOOB_target – Noise floor – I/Ntarget

 


where: 


  • I/Ntargetis 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)
    • IOOB_target is calculated as follows :

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IOOB-TARGET = IOOB-STANDARD – DSTANDARD + DTARGET

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where:

 


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

 


Finally, we obtain: 


Blocking Response = IOOB-TARGET – Noise floor– I/Ntarget, which means:

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