A17.19.1 Description of the model

This path loss model was developed by the IST-WINNER II project and its detailed description can be found in [1].  This is an empirical path loss model based on the measurements results carried out in the IST-WINNER II project, as well as results from the literature. It was developed for link and system level simulations of IMT Radio Interface Technologies beyond 3G in the frequency band 2–6 GHz.  It covers wide scope of propagation scenarios and environments, including Suburban macro-cell (C1), Urban macro-cell (C2), Rural macro cell (D1), indoor-to-outdoor, outdoor-to-indoor, bad urban micro-cell, bad urban macro-cell, feeder link base station (BS) to fixed relay station (FRS), and moving networks BS to mobile relay station (MRS), MRS to mobile station (MS). Note that only outdoor scenarios C1, C2, and D1 are implemented in SEAMCAT. The model supports LOS and NLOS propagation conditions as well as the LOS probabilities. This model includes clutter loss and as such, it is not to be combined with the clutter loss model of Recommendation ITU-R P.2108-0.

Table A19.1: WINNER II Path Loss Model

Note 1:
Breakpoint distance dBP'=4hBS'hMS'fc/c, where fc is the centre frequency in Hz, c=3×108 m/s is the propagation velocity in free space, and hBS' and hMS' are the effective antenna heights at the BS and the MS, respectively. The effective antenna heights hBS' and hMS' are computed as follows: hBS'=hBS-hE, hMS'=hMS-hE, where hBS and hMS are the actual antenna heights, and hE is the effective environment height assumed to be hE=1 m.

Note 2:
Break point distance dBP=4hBShMSfc/c, where fc is the centre frequency in Hz, c=3×108 m/s is the propagation velocity in free space, and hBS and hMS are the antenna heights at the BS and the MS, respectively.

SEAMCAT specific implementation:

• hBS=max (hTx, hRx)
• hMS=min (hTx, hRx)

Table A19.2: LOS Probability

Note: System level simulations require estimates of the probability of line-of-sight. The LOS probability models are based on relatively limited data sets and/or specific assumptions and approximations regarding the location of obstacles in the direct path, and should therefore not be considered exact.

In case the LOS probability is used, the path loss is computed as follows:

for a given Tx-Rx distance d:

• compute probability of LoS:  
• draw a sample value from uniform distribution 
• if   the path is LoS:

• else the path is NLoS:

where path losses in the LOS and NLOS conditions ( and ) and the LOS probability, , for a given scenario are shown in Table A.17.19.1 and Table A.17.19.2, respectively. 

A17.19.2 Input parameters

The input parameters for the path loss model WINNER II are shown in Figure A17.19.1 and defined in Table A17.19.3.

Figure A17.19.1: GUI of the WINNER II path loss model

Table A.17.19.3: Parameters of the WINNER II path loss model

References