HELP!!Optimal objective function value: NaN 、 cvx_status: Failed


function [] = CVXC()
    %参数初始化
    clear
    K = 10;
    Dk = repmat(5e6,1,K);
    Ck = 1000;
    alpha0 = 1e-5;
    sigma2 = 1e-13;
    beita = 1e-28;
    a1 = 1;
    a2 = 1;
    Pk = 0.1;
    PuR = 0.1;
    PuT = 1;
    
    i1= 1;
    Biu = repmat(0.5e6,1,i1);
    
    H = 100; % 示例高度值
    
    q_u = [750,750]; % 用户位置的示例坐标 (q^u)
    q_i = [250,250];
    q_k = [1493, 1082;
        250, 25;
        571, 1366;
        485, 1358;
        229, 775;
        501, 1056;
        715, 1457;
        37, 839;
        966, 627;
        911, 330;
        ];
    
    
    
    B_UAV = 20e6;
    F_UAV = 3e9;
    F_ki = 10e9;
    tau = 1e-10;
    %泰勒展开点
    okun = repmat(0.2,1,K);  
    okin = repmat(0.8,1,K);  
    fkun = repmat(F_UAV / length(Dk),1,K);  % 初始时,将总资源平均分配
    fkin = repmat(F_ki / length(Dk),1,K);   % 初始时,将总资源平均分配

    cvx_quiet(true);
    cvx_begin
        % 优化变量
        variable Bku(1,K) nonnegative
        variable oku(1,K)  nonnegative
        variable oki(1,K) nonnegative %非负ty
        variable fku(1,K) nonnegative
        variable fki(1,K) nonnegative
        variable g(1,K) nonnegative
        % 目标函数                        
            minimize  sum( a1 * ( beita .*Dk.*Ck .* ( oku .* pow_pos(fkun,2  ) + okun .* pow_pos(fku,2  ) +(tau .* oku / 2) .* ( oku -  (okun ).^2) + tau .* fku / 2 .*( fku -  (fkun).^2 )      )  ...
                                 + Dk.*PuR .*inv_pos(Bku .* log2(1 + ( ( alpha0 ./ (H^2 + norm(q_u - q_k)^2) ) * Pk) / sigma2))+...
                                 + sum( oki .* Dk.*PuT ./ (  Biu .* log2(1 + ( ( alpha0 ./ (H^2 + norm(q_u - q_i)^2) ) * PuT) / sigma2)  ) )...
                                ) ...
                          +a2 * ( Dk .*inv_pos( Bku .* log2(1 + ( ( alpha0 ./ (H^2 + norm(q_u - q_k)^2) ) * Pk) / sigma2) ) + g ) ...
                         ) 
        % 约束条件  
        subject to            
            sum( Bku ) <= B_UAV;
            sum( fku ) <= F_UAV;
            sum( fki ) <= F_ki;

            oku + oki == 1;
            0 <= oku <= 1;
            0 <= oki <= 1;

            Bku >= 0;
            fku >= 0;

            oki .* Dk ./ (  Biu .* log2(1 + ( ( alpha0 ./ (H^2 + norm(q_u - q_i)^2) ) * PuT) / sigma2)  ) +...
                Dk .* Ck .*( 1/2 * pow_pos( ( oki+1*inv_pos(fki) ),2  ) - ...
                pow_pos(okin,2  ) - pow_pos(1./fkin,2  ) - okin.*(oki - okin) + ...
                pow_pos(1./fkin,3  )  .* (1.*inv_pos(fki) - 1./fkin)) <= g;
            
            Dk .* Ck .*( 1/2 * pow_pos( ( oku+1*inv_pos(fku) ),2  ) - ...
                pow_pos(okun,2  ) - pow_pos(1./fkun,2  ) - okun.*(oku - okun) + ...
                pow_pos(1./fkun,3  ) .* (1.*inv_pos(fku) - 1./fkun)) <= g;

    cvx_end

    disp('Optimal objective function value:');
    disp(cvx_optval);
    disp('cvx_status:');
    disp(cvx_status);
    val = cvx_optval;

end

CVXC
Optimal objective function value:
NaN

cvx_status:
Failed

The title of paper is : Energy-Efficiency Computation Offloading Strategy in UAV Aided V2X Network With Integrated Sensing and Communication

The numerical scaling of the input data looks horrendous, and likely contributed to the failure of the solver.

You need to change units or something, so that all non-zero input data is within a small number of orders of magnitude of 1.

Also, don’t use the quiet option. Then you will see the solver and CVX output, which might be useful for diagnostic purposes.