% Config File for scenario "MIMOSA_10-45_NLOS"
% Characterisation of the MIMO Channel for Mobile SAtellite Systems (Acronym: MIMOSA)
% Satellite Elevation Range 10-45 deg, Non-Line of Sight
%
% See: MIMOSA TN6.1 – Data Analysis Report – RUSK, Appendix B
% The row in the table is named "0-90", but measurement data was only available for 10-45 deg.

% ==================================================================================================
% Channel model parameters
% See: MIMOSA TN6.1 – Data Analysis Report – RUSK, Appendix B
% ==================================================================================================
% 
% These parameters were extracted from a terrestrial measurement from a high building in downtown
% Berlin, Germany. It is till open, how well they describe a real satellite scenario.

% Large Scale Parameter Statistics

DS_mu = 			-6.9		% Delay Spread (DS) / [log10([s])] mu
DS_sigma = 			0.4			% Delay Spread (DS) / [log10([s])] sig

% The K-Factor from TN6.1 is very unrealistic. The extraction was probably done with a different 
% method. In order to make the results more realistic, we use the K-Factor from "BERLIN_UMa_NLOS".
KF_mu = 			-6.3		% K-factor (KF) / [dB] mu
KF_sigma = 			3.7			% K-factor (KF) / [dB] sig

AS_A_mu = 			1.8 		% Azimuth Angle of Arrival Spread (ASA) / [log10([degrees])] mu
AS_A_sigma  = 		0.2 		% Azimuth Angle of Arrival Spread (ASA) / [log10([degrees])] sig
ES_A_mu = 			1.3 		% Elevation Angle of Arrival Spread (ESA) / [log10([degrees])] mu
ES_A_sigma  = 		0.2 		% Elevation Angle of Arrival Spread (ESA) / [log10([degrees])] sig
SF_sigma = 			6.5 		% Shadow fading (SF) / [dB] sig
xpr_mu =	 		8.6			% XPR / [dB] mu
xpr_sigma = 		4.3			% XPR / [dB] sig

% Correlation Distances

DS_lambda = 		39			% DS correlation distance / [m]
KF_lambda = 		3			% KF correlation distance / [m]
AS_A_lambda = 		18			% ASA correlation distance / [m]
ES_A_lambda = 		15			% ESA correlation distance / [m]
SF_lambda = 		35			% SF correlation distance / [m], guessed from other scenarios

% Cross correlations

ds_kf = 			-0.46		% DS vs KF
asA_ds = 			0.37		% ASA vs DS
esA_ds = 			-0.08		% ESA vs DS
ds_sf = 			0.59		% DS vs SF
asA_kf = 			-0.27		% ASA vs KF
esA_kf = 			-0.1		% ESA vs KF
sf_kf = 			-0.46		% SF vs KF
esA_asA = 			0.39		% ESA vs ASA
asA_sf = 			0.36		% ASA vs SF
esA_sf = 			0.16		% ESA vs SF

% ==================================================================================================
% Transmitter parameters
% These are mostly irrelevant due to the large distance between satellite and Earth.
% ==================================================================================================

% The azimuth of departure spread is estimated by utilizing the GEO orbit distance (35,786 km) and
% assuming a maximum area from which scattering can occur of 1 km. Additionally, one has to account 
% for the earth radius of 6,371 km. The average elevation angle is assumed to be 27.5 deg.
%
% Formula:
% 	AS_D_mu 		= log10( atan( 1/( 35786 + 62.5/90*6371 )))
% 	AS_D_sigma 		= log10( atan( 1.25/( 35786 + 62.5/90*6371 ))) + AS_D_mu
%	PerClusterAS_D	= atan( 0.025/( 35786 + 62.5/90*6371 ))
%
% The elevation of departure is further scaled by the tilt of the earth surface.
%
% Formula:
% 	ES_D_mu			= log10( 27.5/90 * atan( 1/( 35786 + 62.5/90*6371 )))
% 	ES_D_sigma 		= log10( 27.5/90 * atan( 1.25/( 35786 + 62.5/90*6371 ))) + AS_D_mu
%	PerClusterES_D	= atan( 27.5/90 * 0.025/( 35786 + 62.5/90*6371 ))

AS_D_mu = 			-4.6 		% Azimuth Angle of Departure Spread (ASA) / [log10([degrees])] mu
AS_D_sigma = 		0.1 		% Azimuth Angle of Departure Spread (ASD) / [log10([degrees])] sig
AS_D_lambda = 		1000 		% ASD correlation distance / [m] - almost constant
PerClusterAS_D = 	0.00000062	% Cluster ASD / [deg] - 25 m diameter as seen from GEO

ES_D_mu  = 			-5.12 		% Elevation Angle of Departure Spread (ESD) / [log10([degrees])] mu
ES_D_sigma  = 		0.1 		% Elevation Angle of Departure Spread (ESD) / [log10([degrees])] sig
ES_D_lambda = 		1000 		% ESD correlation distance / [m] - almost constant
PerClusterES_D = 	0.00000019	% Cluster ESD / [deg]

% Cross correlations
% We assume all parameters at the satellite to be independent from the receiver due to the large 
% distance.

asD_ds = 			0			% ASD vs DS
asD_sf = 			0			% ASD vs SF
asD_asA = 			0			% ASD vs ASA
asD_kf = 			0			% ASD vs KF
esD_sf = 			0			% ESD vs SF
esD_kf = 			0			% ESD vs KF
esD_ds = 			0			% ESD vs DS
esD_asD = 			0			% ESD vs ASD
esD_asA = 			0			% ESD vs ASA
esD_esA =			0			% ESD vs ESA
esA_asD = 			0			% ESA vs ASD

% ==================================================================================================
% Additional Parameters
% These are not covered by MIMOSA but have to be provided by other sources.
% We used the parameters from "WINNER_UMa_C2_NLOS" here.
% ==================================================================================================

NumClusters = 		20 			% Number of clusters
LOS_scatter_radius = 0.1		% Distance to the LOS scatterers [m]
LNS_ksi = 			3			% Per cluster shadowing std / [dB]
r_DS = 				2.3			% Delay scaling parameter rTau

PerClusterAS_A = 	15			% Cluster ASA / [deg]
PerClusterES_A = 	7			% Cluster ESA / [deg]

% ==================================================================================================
% Path Loss Model
% It is assumed that there is a constant path-loss offset.
% ==================================================================================================

% This still has to be verified.

PL_model = constant
PL_A     = 110

% ==================================================================================================
