Simple power control in communication systems via GP.

% Boyd, Kim, Vandenberghe, and Hassibi, "A Tutorial on Geometric Programming"
% Written for CVX by Almir Mutapcic 02/08/06
% (a figure is generated)
%
% Solves the power control problem in communication systems, where
% we want to minimize the total transmitter power for n transmitters,
% subject to minimum SINR level, and lower and upper bounds on powers.
% This results in a GP:
%
%   minimize   sum(P)
%       s.t.   Pmin <= P <= Pmax
%              SINR >= SINR_min
%
% where variables are transmitter powers P.
% Numerical data for the specific examples was made up.

% problem constants
n = 5;                 % number of transmitters and receivers
sigma = 0.5*ones(n,1); % noise power at the receiver i
Pmin = 0.1*ones(n,1);  % minimum power at the transmitter i
Pmax = 5*ones(n,1);    % maximum power at the transmitter i
SINR_min = 2;          % threshold SINR for each receiver

% path gain matrix
G = [1.0  0.1  0.2  0.1  0.0
     0.1  1.0  0.1  0.1  0.0
     0.2  0.1  2.0  0.2  0.2
     0.1  0.1  0.2  1.0  0.1
     0.0  0.0  0.2  0.1  1.0];

% variables are power levels
cvx_begin gp
  variable P(n)

  % objective function is the total transmitter power
  minimize( sum(P) )
  subject to

    % formulate the inverse SINR at each receiver using vectorize features
    Gdiag = diag(G);          % the main diagonal of G matrix
    Gtilde = G - diag(Gdiag); % G matrix without the main diagonal
    % inverse SINR
    inverseSINR = (sigma + Gtilde*P)./(Gdiag.*P);

    % constraints are power limits and minimum SINR level
    P >= Pmin;
    P <= Pmax;
    inverseSINR <= (1/SINR_min);
cvx_end

fprintf(1,'\nThe minimum total transmitter power is %3.2f.\n',cvx_optval);
disp('Optimal power levels are: '), P
 
Successive approximation method to be employed.
   For improved efficiency, sedumi is solving the dual problem.
   sedumi will be called several times to refine the solution.
   Original size: 88 variables, 26 equality constraints
   26 exponentials add 208 variables, 130 equality constraints
-----------------------------------------------------------------
          Errors   
Act Centering    Conic    Status
-----------------------------------
21  0.000e+00  3.222e-01  Unbounded
26  2.697e+00  6.778e-01  Solved
26  3.000e-01  7.561e-03  Solved
26  3.136e-03  8.413e-07  Solved
26  3.598e-07  7.256e-08  Solved
26  0.000e+00  7.256e-08S Solved
26  6.667e-08S 1.567e-08  Solved
26  1.413e-08  3.524e-09  Solved
26  0.000e+00  3.524e-09S Solved
26  1.187e-07S 0.000e+00  Solved
-----------------------------------------------------------------
Status: Solved
Optimal value (cvx_optval): +17.0014

The minimum total transmitter power is 17.00.
Optimal power levels are: 

P =

    3.6601
    3.1623
    2.9867
    4.1647
    3.0276