Concise and Informative Article Title Throughput Maximization through Joint User Association and Power Allocation for a UAV-Integrated H-CRAN

Algorithm 1

Genetic convex optimization algorithm.

1: Initialization:

2: Calculate the channel gain.

3: Produce the first generation genetic factors.

4: Use convex optimization to calculate the best power allocation .

5: Calculate the fitness function .

6: Set the maximum number of iterations .

7: while

8:    Calculate the selection probability of each genetic factor.

9:   Select the best 1/4 of genetic factors to retain into the next generation.

10:   According to , select genetic factors to for crossover.

11:   Cross the selected genetic factors in pairs.

12:   Generate mutated random integer .

13:   if then

14:     No changed.

15:   else

16:     if then

17:       Randomly select a gene point on the chromosome for 0,1 transformation.

18:     else

19:       Flip the whole chromosome.

20:     end if

21:   end if

22:   Calculate the optimal power allocation for each new genetic factor.

23:   Calculate the fitness function .

24:   

25: end while

26: Output:

27: Calculate maximum sum rate.