function [P_FIX,P_LO,P_BS,P_UE,P_COD,P_DEC,L_BS,P_BT] = functionCPmodel(valueset)
%This function return the values of the CP model coefficients in Table 5.3.
%
%INPUT:
%valueset = Select which one of the value sets in Table 5.3 that is
%           considered. Either valueset=1 or valueset=2 are possible.
%
%OUTPUT:
% P_FIX = Fixed circuit power per BS (in Watt)
% P_LO  = Circuit power per LO (in Watt)
% P_BS  = Circuit power per BS antenna (in Watt)
% P_UE  = Circuit power UE (in Watt)
% P_COD = Circuit power for encoding
% P_DEC = Circuit power for decoding
% L_BS  = BS computational efficiency
% P_BT  = Circuit power for backhaul
%
%
%This Matlab function was developed to generate simulation results to:
%
%Emil Bjornson, Jakob Hoydis and Luca Sanguinetti (2017), 
%"Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency", 
%Foundations and Trends in Signal Processing: Vol. 11, No. 3-4, 
%pp. 154-655. DOI: 10.1561/2000000093.
%
%For further information, visit: https://www.massivemimobook.com
%
%This is version 1.0 (Last edited: 2017-11-04)
%
%License: This code is licensed under the GPLv2 license. If you in any way
%use this code for research that results in publications, please cite our
%monograph as described above.


%% Define parameter values for Value set 1
if valueset == 1
    
    P_FIX = 10;
    
    P_LO = 0.2;
    
    P_BS = 0.4;
    
    P_UE = 0.2;
    
    P_COD = 0.1*10^(-9);
    
    P_DEC = 0.8*10^(-9);
    
    L_BS = 75*10^9;
    
    P_BT = 0.25*10^(-9);
    
% Define parameter values for Value set 2
elseif valueset == 2
    
    P_FIX = 5;
    
    P_LO = 0.1;
    
    P_BS = 0.2;
    
    P_UE = 0.1;
    
    P_COD = 0.01*10^(-9);
    
    P_DEC = 0.08*10^(-9);
    
    L_BS = 750*10^9;
    
    P_BT = 0.025*10^(-9);
    
end

emilbjornson
github-repos/MATLAB/emilbjornson-massivemimobook/massivemimobook-4e429497dea72d52172972f3f686b34d1d047013/Code/functionCPmodel.m
massivemimobook
github-repos/MATLAB/emilbjornson-massivemimobook
4e429497dea72d52172972f3f686b34d1d047013